Arterial Supply of the Whole Body - MBBS Year 1

import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.patches import FancyBboxPatch, FancyArrowPatch
import numpy as np

fig, ax = plt.subplots(1, 1, figsize=(32, 24))
ax.set_xlim(0, 32)
ax.set_ylim(0, 24)
ax.axis('off')
fig.patch.set_facecolor('#0d1117')
ax.set_facecolor('#0d1117')

def draw_node(ax, x, y, text, color, text_color='white', fontsize=9, width=None, height=0.55, alpha=1.0, style='round,pad=0.15', zorder=5):
    if width is None:
        width = max(len(text) * 0.11 + 0.3, 1.2)
    box = FancyBboxPatch((x - width/2, y - height/2), width, height,
                          boxstyle=style, linewidth=0,
                          facecolor=color, alpha=alpha, zorder=zorder)
    ax.add_patch(box)
    ax.text(x, y, text, ha='center', va='center', fontsize=fontsize,
            color=text_color, fontweight='bold', zorder=zorder+1,
            fontfamily='DejaVu Sans')

def draw_line(ax, x1, y1, x2, y2, color='#ffffff', lw=1.5, alpha=0.5, style='-'):
    ax.plot([x1, x2], [y1, y2], color=color, lw=lw, alpha=alpha, linestyle=style, zorder=2)

def draw_curved_line(ax, x1, y1, x2, y2, color='#ffffff', lw=1.5, alpha=0.4):
    import matplotlib.patches as mpatches
    mid_x = (x1 + x2) / 2
    mid_y = (y1 + y2) / 2 + 0.3
    verts = [(x1, y1), (mid_x, mid_y), (x2, y2)]
    codes = [1, 3, 2]  # MOVETO, CURVE3, LINETO
    from matplotlib.path import Path
    path = Path([(x1,y1),(mid_x,mid_y),(x2,y2)], [Path.MOVETO, Path.CURVE3, Path.CURVE3])
    patch = mpatches.PathPatch(path, facecolor='none', edgecolor=color, lw=lw, alpha=alpha, zorder=2)
    ax.add_patch(patch)

# ===== TITLE =====
ax.text(16, 23.3, '🫀  ARTERIAL SUPPLY OF THE BODY  — PART 1', ha='center', va='center',
        fontsize=19, color='white', fontweight='bold',
        bbox=dict(boxstyle='round,pad=0.4', facecolor='#8B0000', edgecolor='#ff4444', lw=2))
ax.text(16, 22.7, 'HEAD & NECK  •  UPPER LIMB  •  THORAX  •  CORONARY ARTERIES', ha='center',
        fontsize=10, color='#ffcccc')

# ===== CENTRAL NODE =====
cx, cy = 16, 11.5
draw_node(ax, cx, cy, '🫀 AORTA', '#8B0000', 'white', fontsize=16, width=3.2, height=1.0, style='round,pad=0.3', zorder=10)
ax.text(cx, cy - 0.75, 'Main Arterial Trunk', ha='center', fontsize=7.5, color='#ffaaaa', zorder=11)

# =============================================
# SECTION 1: ARCH OF AORTA (top-left)
# =============================================
arch_x, arch_y = 8.5, 19.5
draw_node(ax, arch_x, arch_y, '🔄 ARCH OF AORTA', '#1a3a5c', 'white', fontsize=11, width=3.8, height=0.7)
draw_curved_line(ax, cx, cy+0.5, arch_x, arch_y-0.35, '#4fc3f7', lw=2.5, alpha=0.7)

# Branch 1: Brachiocephalic trunk
bct_x, bct_y = 4.0, 17.5
draw_node(ax, bct_x, bct_y, '① Brachiocephalic\nTrunk', '#1565c0', 'white', fontsize=8.5, width=3.2, height=0.8)
draw_line(ax, arch_x, arch_y-0.35, bct_x, bct_y+0.4, '#4fc3f7', lw=1.8, alpha=0.6)

# Sub-branches of Brachiocephalic
items_bct = [('R. Common Carotid', 2.2, 16.0), ('R. Subclavian A.', 5.0, 15.8)]
for txt, x, y in items_bct:
    draw_node(ax, x, y, txt, '#0d47a1', 'white', fontsize=7.5, width=2.8)
    draw_line(ax, bct_x, bct_y-0.4, x, y+0.27, '#90caf9', lw=1.3, alpha=0.6)

# Branch 2: L. Common Carotid
lcc_x, lcc_y = 8.5, 17.2
draw_node(ax, lcc_x, lcc_y, '② L. Common Carotid A.', '#1565c0', 'white', fontsize=8.5, width=3.5, height=0.65)
draw_line(ax, arch_x, arch_y-0.35, lcc_x, lcc_y+0.33, '#4fc3f7', lw=1.8, alpha=0.6)

# Branch 3: L. Subclavian
lsc_x, lsc_y = 12.5, 17.2
draw_node(ax, lsc_x, lsc_y, '③ L. Subclavian A.', '#1565c0', 'white', fontsize=8.5, width=3.0, height=0.65)
draw_line(ax, arch_x, arch_y-0.35, lsc_x, lsc_y+0.33, '#4fc3f7', lw=1.8, alpha=0.6)

# =============================================
# SECTION 2: CAROTID ARTERIES (left side)
# =============================================
carotid_x, carotid_y = 3.5, 21.5
draw_node(ax, carotid_x, carotid_y, '🧠 CAROTID ARTERIES', '#4a148c', 'white', fontsize=10.5, width=3.8, height=0.7)
draw_curved_line(ax, cx, cy+0.5, carotid_x, carotid_y-0.35, '#ce93d8', lw=2, alpha=0.6)

# ECA branches
eca_x, eca_y = 1.5, 20.0
draw_node(ax, eca_x, eca_y, 'ECA\n(External)', '#6a1b9a', 'white', fontsize=8, width=2.2, height=0.7)
draw_line(ax, carotid_x, carotid_y-0.35, eca_x, eca_y+0.35, '#ce93d8', lw=1.5, alpha=0.6)

eca_branches = [
    ('😮 Superior Thyroid → Thyroid, Larynx', 1.5, 19.0),
    ('↑ Ascending Pharyngeal → Pharynx', 1.5, 18.4),
    ('👅 Lingual → Tongue, Floor of mouth', 1.5, 17.8),
    ('😊 Facial → Face (chin to eye)', 1.5, 17.2),
    ('🔙 Occipital → Posterior scalp', 1.5, 16.6),
    ('👂 Post. Auricular → Ear, Scalp', 1.5, 16.0),
    ('💀 Maxillary → Deep face, Teeth, Palate', 1.5, 15.4),
    ('⛓ Superficial Temporal → Scalp, Temple', 1.5, 14.8),
]
for i, (txt, x, y) in enumerate(eca_branches):
    col = '#7b1fa2' if i % 2 == 0 else '#4a148c'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.5, width=4.5, height=0.45)
    draw_line(ax, eca_x, eca_y-0.35, x, y+0.22, '#e1bee7', lw=1.0, alpha=0.5)

# ICA
ica_x, ica_y = 5.5, 20.2
draw_node(ax, ica_x, ica_y, 'ICA\n(Internal)', '#880e4f', 'white', fontsize=8, width=2.2, height=0.7)
draw_line(ax, carotid_x, carotid_y-0.35, ica_x, ica_y+0.35, '#f48fb1', lw=1.5, alpha=0.6)

ica_branches = [
    ('👁 Ophthalmic A. → Eye, Orbit', 5.5, 19.2),
    ('🧠 ACA → Medial frontal lobe', 5.5, 18.6),
    ('🧠 MCA → Lateral cortex (largest)', 5.5, 18.0),
    ('🔗 Post. Communicating A.', 5.5, 17.4),
    ('💧 Anterior Choroidal A.', 5.5, 16.8),
]
for i, (txt, x, y) in enumerate(ica_branches):
    col = '#ad1457' if i % 2 == 0 else '#880e4f'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.5, width=3.8, height=0.45)
    draw_line(ax, ica_x, ica_y-0.35, x, y+0.22, '#f8bbd0', lw=1.0, alpha=0.5)

# =============================================
# SECTION 3: VERTEBRAL / CIRCLE OF WILLIS (top-center)
# =============================================
cow_x, cow_y = 16, 21.0
draw_node(ax, cow_x, cow_y, '🔵 CIRCLE OF WILLIS', '#004d40', 'white', fontsize=11, width=4.0, height=0.7)
draw_curved_line(ax, cx, cy+0.5, cow_x, cow_y-0.35, '#80cbc4', lw=2, alpha=0.6)

cow_branches = [
    ('🔄 Vertebral A. (from subclavian) × 2', 13.0, 20.0),
    ('🔽 Basilar A. (L+R vertebral)', 13.0, 19.4),
    ('🧠 PICA → Cerebellum, Medulla', 13.0, 18.8),
    ('🧠 AICA → Cerebellum', 13.0, 18.2),
    ('🧠 SCA → Superior cerebellum', 13.0, 17.6),
    ('🧠 PCA → Occipital lobe', 13.0, 17.0),
    ('🔗 Ant. Communicating A.', 19.0, 20.0),
    ('↔ Connects two ACAs', 19.0, 19.4),
    ('🔗 Post. Communicating A. ×2', 19.0, 18.8),
    ('↔ Connects ICA ↔ PCA', 19.0, 18.2),
]
for i, (txt, x, y) in enumerate(cow_branches):
    col = '#00695c' if i % 2 == 0 else '#004d40'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.5, width=4.0, height=0.45)
    draw_line(ax, cow_x, cow_y-0.35, x, y+0.22, '#b2dfdb', lw=1.0, alpha=0.5)

# =============================================
# SECTION 4: SUBCLAVIAN ARTERY (right-top)
# =============================================
sub_x, sub_y = 24, 21.0
draw_node(ax, sub_x, sub_y, '💪 SUBCLAVIAN A.', '#e65100', 'white', fontsize=11, width=3.8, height=0.7)
draw_curved_line(ax, cx, cy+0.5, sub_x, sub_y-0.35, '#ffb74d', lw=2, alpha=0.6)

ax.text(sub_x, sub_y-1.1, 'Mnemonic: VIT C D', ha='center', fontsize=7.5,
        color='#ffe0b2', style='italic',
        bbox=dict(boxstyle='round,pad=0.2', facecolor='#bf360c', alpha=0.7))

sub_branches = [
    ('🧠 V - Vertebral A. → Brain, Spinal cord', 21.5, 19.6),
    ('🫁 I - Internal Thoracic A. → Chest wall, Breast', 21.5, 19.0),
    ('🦋 T - Thyrocervical Trunk →', 21.5, 18.4),
    ('  ↳ Inferior thyroid (Thyroid gland)', 21.5, 17.8),
    ('  ↳ Suprascapular (Scapular muscles)', 21.5, 17.2),
    ('  ↳ Transverse cervical', 21.5, 16.6),
    ('💪 C - Costocervical Trunk → Intercostals 1-2', 26.5, 19.6),
    ('🔙 D - Dorsal Scapular A. → Rhomboids', 26.5, 19.0),
]
for i, (txt, x, y) in enumerate(sub_branches):
    col = '#e64a19' if i % 2 == 0 else '#bf360c'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.5, width=4.5, height=0.45)
    draw_line(ax, sub_x, sub_y-0.35, x, y+0.22, '#ffccbc', lw=1.0, alpha=0.5)

# =============================================
# SECTION 5: AXILLARY ARTERY (far right)
# =============================================
ax_x, ax_y = 28.5, 16.0
draw_node(ax, ax_x, ax_y, '🦾 AXILLARY A.', '#1b5e20', 'white', fontsize=10.5, width=3.2, height=0.7)
draw_curved_line(ax, cx, cy+0.5, ax_x, ax_y-0.35, '#a5d6a7', lw=2, alpha=0.6)

ax.text(ax_x, ax_y-1.0, '3 Parts by Pec Minor', ha='center', fontsize=7.5,
        color='#c8e6c9', style='italic',
        bbox=dict(boxstyle='round,pad=0.2', facecolor='#2e7d32', alpha=0.7))

axi_branches = [
    ('Part 1: Superior Thoracic A.', 27.5, 14.8),
    ('Part 2: Thoracoacromial A. → Pec, Deltoid', 27.5, 14.2),
    ('Part 2: Lateral Thoracic A. → Breast, Serratus', 27.5, 13.6),
    ('Part 3: Subscapular A.', 27.5, 13.0),
    ('  ↳ Thoracodorsal A. → Latissimus dorsi', 27.5, 12.4),
    ('  ↳ Circumflex Scapular A.', 27.5, 11.8),
    ('Part 3: Ant. Circumflex Humeral A.', 30.5, 14.8),
    ('Part 3: Post. Circumflex Humeral A.', 30.5, 14.2),
    ('  → Shoulder joint, Deltoid', 30.5, 13.6),
    ('⬇ Becomes Brachial A.', 30.5, 13.0),
]
for i, (txt, x, y) in enumerate(axi_branches):
    col = '#2e7d32' if i % 2 == 0 else '#1b5e20'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.3, width=4.0, height=0.45)
    draw_line(ax, ax_x, ax_y-0.35, x, y+0.22, '#c8e6c9', lw=1.0, alpha=0.5)

# =============================================
# SECTION 6: BRACHIAL → RADIAL / ULNAR (right-middle)
# =============================================
brach_x, brach_y = 24.5, 10.5
draw_node(ax, brach_x, brach_y, '💉 BRACHIAL A.', '#33691e', 'white', fontsize=10.5, width=3.0, height=0.7)
draw_curved_line(ax, cx, cy, brach_x, brach_y+0.35, '#aed581', lw=2, alpha=0.6)

brach_items = [
    ('🔽 Profunda Brachii → Posterior arm, Spiral groove', 22.0, 9.4),
    ('  ↳ Middle Collateral A.', 22.0, 8.8),
    ('  ↳ Radial Collateral A.', 22.0, 8.2),
    ('⬆ Superior Ulnar Collateral A.', 22.0, 7.6),
    ('⬇ Inferior Ulnar Collateral A.', 22.0, 7.0),
    ('↙ Radial A. (Thumb side)', 27.5, 9.4),
    ('  → Deep palmar arch (main)', 27.5, 8.8),
    ('  → Princeps pollicis (Thumb)', 27.5, 8.2),
    ('  → 1st dorsal interosseous', 27.5, 7.6),
    ('↘ Ulnar A. (Larger terminal)', 27.5, 7.0),
    ('  → Superficial palmar arch', 27.5, 6.4),
    ('  → Common interosseous A.', 27.5, 5.8),
    ('  ↳ Ant./Post. Interosseous', 27.5, 5.2),
    ('  → Digital arteries (Fingers)', 27.5, 4.6),
]
for i, (txt, x, y) in enumerate(brach_items):
    col = '#558b2f' if i % 2 == 0 else '#33691e'
    w = 4.8 if len(txt) > 25 else 3.8
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=w, height=0.42)
    draw_line(ax, brach_x, brach_y-0.35, x, y+0.21, '#dcedc8', lw=1.0, alpha=0.4)

# =============================================
# SECTION 7: CORONARY ARTERIES (bottom-center)
# =============================================
cor_x, cor_y = 16, 8.0
draw_node(ax, cor_x, cor_y, '❤️ CORONARY ARTERIES', '#b71c1c', 'white', fontsize=11, width=4.2, height=0.7)
draw_curved_line(ax, cx, cy-0.5, cor_x, cor_y+0.35, '#ef9a9a', lw=2.5, alpha=0.7)
ax.text(cor_x, cor_y-1.0, 'From: Ascending Aorta (Aortic Sinuses)', ha='center', fontsize=7.5,
        color='#ffcdd2', style='italic')

rca_x, rca_y = 12.5, 6.5
draw_node(ax, rca_x, rca_y, '🔴 Right Coronary A. (RCA)', '#c62828', 'white', fontsize=8.5, width=3.8, height=0.65)
draw_line(ax, cor_x, cor_y-0.35, rca_x, rca_y+0.33, '#ef9a9a', lw=1.8, alpha=0.6)

rca_items = [
    ('SA Node A. (60%) → Sinus node', 11.0, 5.6),
    ('AV Node A. (80-90%) → AV node', 11.0, 5.0),
    ('R. Marginal A. → Right ventricle', 11.0, 4.4),
    ('Post. Desc. A. (PDA) → Posterior septum', 11.0, 3.8),
    ('Posterior Interventricular A.', 11.0, 3.2),
]
for i, (txt, x, y) in enumerate(rca_items):
    col = '#d32f2f' if i % 2 == 0 else '#b71c1c'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.5, width=4.2, height=0.42)
    draw_line(ax, rca_x, rca_y-0.33, x, y+0.21, '#ffcdd2', lw=1.0, alpha=0.5)

lca_x, lca_y = 19.5, 6.5
draw_node(ax, lca_x, lca_y, '🔵 Left Coronary A. (LCA)', '#1565c0', 'white', fontsize=8.5, width=3.8, height=0.65)
draw_line(ax, cor_x, cor_y-0.35, lca_x, lca_y+0.33, '#90caf9', lw=1.8, alpha=0.6)

lca_items = [
    ('LAD (Ant. Interventricular A.):', 18.0, 5.6),
    ('  → Ant. LV, Apex, Bundle branches', 18.0, 5.0),
    ('  → Ant. 2/3 IV Septum', 18.0, 4.4),
    ('  → Diagonal branches', 18.0, 3.8),
    ('Circumflex A.:', 21.5, 5.6),
    ('  → L. Atrium, Post-lateral LV', 21.5, 5.0),
    ('  → SA Node A. (40%)', 21.5, 4.4),
    ('  → Obtuse marginal A.', 21.5, 3.8),
]
for i, (txt, x, y) in enumerate(lca_items):
    col = '#1976d2' if i % 2 == 0 else '#1565c0'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.3, width=4.0, height=0.42)
    draw_line(ax, lca_x, lca_y-0.33, x, y+0.21, '#bbdefb', lw=1.0, alpha=0.5)

# =============================================
# SECTION 8: THORACIC AORTA (bottom-left)
# =============================================
thor_x, thor_y = 7.5, 9.0
draw_node(ax, thor_x, thor_y, '🫁 THORACIC AORTA', '#4e342e', 'white', fontsize=10.5, width=3.5, height=0.7)
draw_curved_line(ax, cx, cy-0.5, thor_x, thor_y+0.35, '#a1887f', lw=2, alpha=0.6)

thor_branches = [
    ('🦴 Post. Intercostals 3-11 → Ribs, Muscles, SC', 5.5, 7.8),
    ('🔽 Subcostal A. → Below 12th rib', 5.5, 7.2),
    ('🫁 Bronchial A. (1R, 2L) → Lung nutrition', 5.5, 6.6),
    ('🍽 Oesophageal A. → Lower oesophagus', 5.5, 6.0),
    ('❤️ Pericardial branches → Pericardium', 5.5, 5.4),
    ('⬆ Superior Phrenic A. → Diaphragm (top)', 5.5, 4.8),
    ('🏠 Internal Thoracic A. → Ant. intercostals 1-6', 9.5, 7.8),
    ('  ↳ Musculophrenic A. → Intercostals 7-9', 9.5, 7.2),
    ('  ↳ Superior Epigastric A. → Upper ant. wall', 9.5, 6.6),
]
for i, (txt, x, y) in enumerate(thor_branches):
    col = '#5d4037' if i % 2 == 0 else '#4e342e'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.3, width=4.8, height=0.42)
    draw_line(ax, thor_x, thor_y-0.35, x, y+0.21, '#d7ccc8', lw=1.0, alpha=0.5)

# =============================================
# LEGEND
# =============================================
legend_items = [
    ('#4a148c', '🧠 Head & Brain'),
    ('#e65100', '💪 Subclavian/Neck'),
    ('#1b5e20', '🦾 Upper Limb'),
    ('#b71c1c', '❤️ Coronary'),
    ('#4e342e', '🫁 Thorax'),
    ('#004d40', '🔵 Circle of Willis'),
]
lx, ly = 0.3, 3.0
ax.text(lx + 1.2, ly + 0.5, 'LEGEND', ha='center', fontsize=8, color='white', fontweight='bold')
for i, (col, label) in enumerate(legend_items):
    draw_node(ax, lx + 1.2, ly - i*0.55, label, col, 'white', fontsize=7, width=3.0, height=0.42)

# Footer
ax.text(16, 0.3, 'Part 1 of 2  |  Gray\'s Anatomy for Students  |  MBBS Year 1 Anatomy',
        ha='center', fontsize=8, color='#666666', style='italic')

plt.tight_layout()
plt.savefig('/home/daytona/workspace/arterial-mindmaps/arterial_mindmap_part1.png',
            dpi=180, bbox_inches='tight', facecolor='#0d1117')
print("Part 1 saved!")

import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.patches import FancyBboxPatch
from matplotlib.path import Path
import numpy as np

fig, ax = plt.subplots(1, 1, figsize=(34, 26))
ax.set_xlim(0, 34)
ax.set_ylim(0, 26)
ax.axis('off')
fig.patch.set_facecolor('#0d1117')
ax.set_facecolor('#0d1117')

def draw_node(ax, x, y, text, color, text_color='white', fontsize=9, width=None, height=0.55, alpha=1.0, zorder=5):
    if width is None:
        width = max(len(text) * 0.10 + 0.3, 1.2)
    box = FancyBboxPatch((x - width/2, y - height/2), width, height,
                          boxstyle='round,pad=0.12', linewidth=0,
                          facecolor=color, alpha=alpha, zorder=zorder)
    ax.add_patch(box)
    ax.text(x, y, text, ha='center', va='center', fontsize=fontsize,
            color=text_color, fontweight='bold', zorder=zorder+1)

def draw_line(ax, x1, y1, x2, y2, color='#aaaaaa', lw=1.5, alpha=0.5):
    ax.plot([x1, x2], [y1, y2], color=color, lw=lw, alpha=alpha, zorder=2)

def draw_curved(ax, x1, y1, x2, y2, color='#aaaaaa', lw=1.8, alpha=0.5):
    mx = (x1+x2)/2
    my = (y1+y2)/2 + 0.25
    path = Path([(x1,y1),(mx,my),(x2,y2)],
                [Path.MOVETO, Path.CURVE3, Path.CURVE3])
    patch = mpatches.PathPatch(path, facecolor='none', edgecolor=color, lw=lw, alpha=alpha, zorder=2)
    ax.add_patch(patch)

# ========== TITLE ==========
ax.text(17, 25.4, 'ARTERIAL SUPPLY OF THE BODY -- PART 2', ha='center',
        fontsize=19, color='white', fontweight='bold',
        bbox=dict(boxstyle='round,pad=0.4', facecolor='#8B0000', edgecolor='#ff4444', lw=2))
ax.text(17, 24.75, 'ABDOMEN  *  PELVIS  *  LOWER LIMB  *  GLANDS  *  KEY ANASTOMOSES',
        ha='center', fontsize=10, color='#ffcccc')

# ========== CENTRAL NODE ==========
cx, cy = 17, 13.0
draw_node(ax, cx, cy, 'ABDOMINAL AORTA', '#8B0000', 'white', fontsize=15, width=4.0, height=1.0, zorder=10)
ax.text(cx, cy-0.75, 'T12 --> L4 | Bifurcates into Common Iliacs', ha='center', fontsize=7.5, color='#ffaaaa', zorder=11)

# =============================================
# SECTION 1: CELIAC TRUNK (top-left)
# =============================================
cel_x, cel_y = 5.5, 21.5
draw_node(ax, cel_x, cel_y, 'CELIAC TRUNK  T12/L1', '#4a148c', 'white', fontsize=11, width=4.2, height=0.72)
draw_curved(ax, cx, cy+0.5, cel_x, cel_y-0.36, '#ce93d8', lw=2.5, alpha=0.7)
ax.text(cel_x, cel_y-1.1, 'Supplies FOREGUT', ha='center', fontsize=7.5,
        color='#e1bee7', style='italic',
        bbox=dict(boxstyle='round,pad=0.2', facecolor='#6a1b9a', alpha=0.7))

# Celiac branches
cel_branches = [
    # Left Gastric
    ('Left Gastric A.', 2.5, 20.2, '#6a1b9a'),
    ('  -> Lesser curvature stomach', 2.5, 19.6, '#4a148c'),
    ('  -> Lower oesophagus', 2.5, 19.0, '#4a148c'),
    # Common Hepatic
    ('Common Hepatic A.', 5.5, 20.2, '#7b1fa2'),
    ('  -> Hepatic Proper (R+L hepatic)', 5.5, 19.6, '#6a1b9a'),
    ('  -> Right Gastric A.', 5.5, 19.0, '#6a1b9a'),
    ('  -> Gastroduodenal A.', 5.5, 18.4, '#6a1b9a'),
    ('     -> Sup. Pancreaticoduodenal', 5.5, 17.8, '#4a148c'),
    ('     -> R. Gastroepiploic A.', 5.5, 17.2, '#4a148c'),
    # Splenic
    ('Splenic A. (tortuous)', 8.5, 20.2, '#6a1b9a'),
    ('  -> Short Gastric (fundus)', 8.5, 19.6, '#4a148c'),
    ('  -> L. Gastroepiploic A.', 8.5, 19.0, '#4a148c'),
    ('  -> Pancreatic branches', 8.5, 18.4, '#4a148c'),
]
for txt, x, y, col in cel_branches:
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.3, width=3.8, height=0.42)
    draw_line(ax, cel_x, cel_y-0.36, x, y+0.21, '#ce93d8', lw=0.9, alpha=0.5)

# =============================================
# SECTION 2: SMA (top-center)
# =============================================
sma_x, sma_y = 14.5, 22.0
draw_node(ax, sma_x, sma_y, 'SUP. MESENTERIC A. (SMA)  L1', '#01579b', 'white', fontsize=11, width=5.0, height=0.72)
draw_curved(ax, cx, cy+0.5, sma_x, sma_y-0.36, '#4fc3f7', lw=2.5, alpha=0.7)
ax.text(sma_x, sma_y-1.1, 'Supplies MIDGUT (mid-duodenum to 2/3 transverse colon)',
        ha='center', fontsize=7, color='#b3e5fc', style='italic',
        bbox=dict(boxstyle='round,pad=0.2', facecolor='#0277bd', alpha=0.7))

sma_items = [
    ('Inf. Pancreaticoduodenal A.', 12.0, 20.6),
    ('Jejunal branches (15-18)', 12.0, 20.0),
    ('Ileal branches', 12.0, 19.4),
    ('Ileocolic A.', 12.0, 18.8),
    ('  -> Appendicular A. (Appendix)', 12.0, 18.2),
    ('  -> Caecal branches', 12.0, 17.6),
    ('Right Colic A. -> Ascending colon', 17.0, 20.6),
    ('Middle Colic A. -> Transverse colon', 17.0, 20.0),
    ('(Anastomoses via Marginal A.)', 17.0, 19.4),
]
for i, (txt, x, y) in enumerate(sma_items):
    col = '#0288d1' if i % 2 == 0 else '#01579b'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.3, width=4.2, height=0.42)
    draw_line(ax, sma_x, sma_y-0.36, x, y+0.21, '#81d4fa', lw=0.9, alpha=0.5)

# =============================================
# SECTION 3: IMA (top-right)
# =============================================
ima_x, ima_y = 23.5, 21.5
draw_node(ax, ima_x, ima_y, 'INF. MESENTERIC A. (IMA)  L3', '#004d40', 'white', fontsize=11, width=5.0, height=0.72)
draw_curved(ax, cx, cy+0.5, ima_x, ima_y-0.36, '#80cbc4', lw=2.5, alpha=0.7)
ax.text(ima_x, ima_y-1.1, 'Supplies HINDGUT (distal 1/3 transverse colon -> upper rectum)',
        ha='center', fontsize=7, color='#b2dfdb', style='italic',
        bbox=dict(boxstyle='round,pad=0.2', facecolor='#00695c', alpha=0.7))

ima_items = [
    ('Left Colic A. -> Descending colon', 21.5, 20.0),
    ('Sigmoid Arteries (2-3) -> Sigmoid colon', 21.5, 19.4),
    ('Superior Rectal A. -> Upper rectum', 21.5, 18.8),
    ('  (Anastomoses with Middle Rectal)', 21.5, 18.2),
    ('Marginal A. of Drummond', 26.0, 20.0),
    ('  (SMA + IMA anastomosis)', 26.0, 19.4),
    ('  -> Continuous along colon', 26.0, 18.8),
]
for i, (txt, x, y) in enumerate(ima_items):
    col = '#00796b' if i % 2 == 0 else '#004d40'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.3, width=4.2, height=0.42)
    draw_line(ax, ima_x, ima_y-0.36, x, y+0.21, '#b2dfdb', lw=0.9, alpha=0.5)

# =============================================
# SECTION 4: PAIRED VISCERAL + GLANDS (right-upper)
# =============================================
gland_x, gland_y = 30.0, 18.5
draw_node(ax, gland_x, gland_y, 'GLANDS & PAIRED\nVISCERAL BRANCHES', '#e65100', 'white', fontsize=9.5, width=4.0, height=0.85)
draw_curved(ax, cx, cy+0.5, gland_x, gland_y-0.43, '#ffb74d', lw=2.5, alpha=0.7)

gland_items = [
    # Suprarenal
    ('SUPRARENAL GLAND - Triple supply:', 30.0, 17.4, '#bf360c'),
    ('  Sup. Suprarenal A. (from Inf. Phrenic)', 30.0, 16.8, '#e64a19'),
    ('  Middle Suprarenal A. (from Aorta L1)', 30.0, 16.2, '#e64a19'),
    ('  Inf. Suprarenal A. (from Renal A.)', 30.0, 15.6, '#e64a19'),
    # Kidneys
    ('KIDNEYS - Renal Arteries (L1-L2):', 30.0, 15.0, '#bf360c'),
    ('  R. Renal A. (longer, behind IVC)', 30.0, 14.4, '#e64a19'),
    ('  L. Renal A. (shorter)', 30.0, 13.8, '#e64a19'),
    ('  5 Segmental branches (no anastomosis!)', 30.0, 13.2, '#e64a19'),
    # Gonads
    ('GONADS - Testicular/Ovarian A. (L2):', 30.0, 12.6, '#bf360c'),
    ('  Descend on psoas major', 30.0, 12.0, '#e64a19'),
    ('  Testicular -> via inguinal canal', 30.0, 11.4, '#e64a19'),
    ('  Ovarian -> cross pelvic brim', 30.0, 10.8, '#e64a19'),
    # Thyroid
    ('THYROID GLAND:', 30.0, 10.2, '#bf360c'),
    ('  Sup. Thyroid A. (from ECA)', 30.0, 9.6, '#e64a19'),
    ('  Inf. Thyroid A. (Thyrocervical trunk)', 30.0, 9.0, '#e64a19'),
    ('  Thyroid Ima A. (variable, from Brachioceph.)', 30.0, 8.4, '#e64a19'),
]
for txt, x, y, col in gland_items:
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=5.0, height=0.42)
    draw_line(ax, gland_x, gland_y-0.43, x, y+0.21, '#ffccbc', lw=0.8, alpha=0.4)

# =============================================
# SECTION 5: POSTERIOR BRANCHES OF ABDOMINAL AORTA
# =============================================
post_x, post_y = 17, 18.8
draw_node(ax, post_x, post_y, 'PARIETAL (POSTERIOR) BRANCHES', '#37474f', 'white', fontsize=10, width=4.8, height=0.65)
draw_line(ax, cx, cy+0.5, post_x, post_y-0.33, '#90a4ae', lw=2, alpha=0.6)

post_items = [
    ('Inf. Phrenic A. (paired) - 1st branches', 14.5, 17.8),
    ('  -> Lower diaphragm surface', 14.5, 17.2),
    ('  -> Sup. Suprarenal branch', 14.5, 16.6),
    ('Lumbar A. (4 pairs L1-L4)', 19.5, 17.8),
    ('  -> Posterior abdominal wall', 19.5, 17.2),
    ('  -> Spinal cord via dorsal branches', 19.5, 16.6),
    ('Median Sacral A. (unpaired, terminal)', 17.0, 16.0),
]
for i, (txt, x, y) in enumerate(post_items):
    col = '#455a64' if i % 2 == 0 else '#37474f'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.3, width=4.2, height=0.42)
    draw_line(ax, post_x, post_y-0.33, x, y+0.21, '#cfd8dc', lw=0.9, alpha=0.5)

# =============================================
# SECTION 6: ILIAC ARTERIES + PELVIS (bottom-left)
# =============================================
iliac_x, iliac_y = 7.0, 10.5
draw_node(ax, iliac_x, iliac_y, 'ILIAC ARTERIES  (L4)', '#1a237e', 'white', fontsize=11, width=3.8, height=0.72)
draw_curved(ax, cx, cy-0.5, iliac_x, iliac_y+0.36, '#7986cb', lw=2.5, alpha=0.7)
ax.text(iliac_x, iliac_y-1.05, 'Common Iliac -> Internal + External',
        ha='center', fontsize=7, color='#c5cae9', style='italic',
        bbox=dict(boxstyle='round,pad=0.2', facecolor='#283593', alpha=0.7))

# Internal Iliac
iia_x, iia_y = 4.0, 8.8
draw_node(ax, iia_x, iia_y, 'INTERNAL ILIAC A.\n(Hypogastric)', '#283593', 'white', fontsize=8.5, width=3.2, height=0.75)
draw_line(ax, iliac_x, iliac_y-0.36, iia_x, iia_y+0.38, '#7986cb', lw=1.8, alpha=0.6)

ant_div = [
    ('ANTERIOR DIVISION:', 2.5, 7.7, '#1a237e'),
    ('  Umbilical A. -> Sup. Vesical (Bladder)', 2.5, 7.1, '#283593'),
    ('  Inf. Vesical / Vaginal A.', 2.5, 6.5, '#283593'),
    ('  Uterine A. -> Uterus, Vagina, Tube', 2.5, 5.9, '#283593'),
    ('  Middle Rectal A.', 2.5, 5.3, '#283593'),
    ('  Obturator A. -> Medial thigh, Hip jt', 2.5, 4.7, '#283593'),
    ('  Internal Pudendal A. -> Genitalia, Anus', 2.5, 4.1, '#283593'),
    ('  Inferior Gluteal A.', 2.5, 3.5, '#1a237e'),
]
post_div = [
    ('POSTERIOR DIVISION:', 5.5, 7.7, '#0d47a1'),
    ('  Iliolumbar A. -> Iliacus, Psoas', 5.5, 7.1, '#1565c0'),
    ('  Lateral Sacral A. -> Sacral canal', 5.5, 6.5, '#1565c0'),
    ('  Superior Gluteal A. -> Gluteal mm', 5.5, 5.9, '#1565c0'),
    ('  (Largest branch of Int. Iliac!)', 5.5, 5.3, '#0d47a1'),
]
for txt, x, y, col in ant_div + post_div:
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=3.8, height=0.42)
    draw_line(ax, iia_x, iia_y-0.38, x, y+0.21, '#9fa8da', lw=0.8, alpha=0.5)

# External Iliac
eia_x, eia_y = 9.5, 8.8
draw_node(ax, eia_x, eia_y, 'EXTERNAL ILIAC A.', '#1b5e20', 'white', fontsize=9, width=3.0, height=0.65)
draw_line(ax, iliac_x, iliac_y-0.36, eia_x, eia_y+0.33, '#7986cb', lw=1.8, alpha=0.6)

eia_items = [
    ('Inf. Epigastric A.', 8.5, 7.7),
    ('  -> Lateral border Hesselbach tri.', 8.5, 7.1),
    ('  -> Anastomoses Sup. Epigastric', 8.5, 6.5),
    ('Deep Circumflex Iliac A.', 10.8, 7.7),
    ('  -> Ant. abdominal wall', 10.8, 7.1),
    ('  -> Iliac crest muscles', 10.8, 6.5),
    ('Becomes FEMORAL A.', 9.5, 5.9),
    ('  (at midpoint inguinal ligament)', 9.5, 5.3),
]
for i, (txt, x, y) in enumerate(eia_items):
    col = '#2e7d32' if i % 2 == 0 else '#1b5e20'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=3.8, height=0.42)
    draw_line(ax, eia_x, eia_y-0.33, x, y+0.21, '#a5d6a7', lw=0.8, alpha=0.5)

# =============================================
# SECTION 7: LOWER LIMB (bottom-center + right)
# =============================================
ll_x, ll_y = 17, 9.5
draw_node(ax, ll_x, ll_y, 'LOWER LIMB ARTERIES', '#33691e', 'white', fontsize=11, width=4.2, height=0.72)
draw_curved(ax, cx, cy-0.5, ll_x, ll_y+0.36, '#aed581', lw=2.5, alpha=0.7)

# Femoral
fem_x, fem_y = 14.0, 7.8
draw_node(ax, fem_x, fem_y, 'FEMORAL A.', '#558b2f', 'white', fontsize=9.5, width=2.8, height=0.65)
draw_line(ax, ll_x, ll_y-0.36, fem_x, fem_y+0.33, '#aed581', lw=1.8, alpha=0.6)

fem_items = [
    ('Profunda Femoris (Deep Femoral A.)', 12.0, 6.8),
    ('  Medial Circumflex Femoral A.', 12.0, 6.2),
    ('    -> Femoral head (main supply!)', 12.0, 5.6),
    ('  Lateral Circumflex Femoral A.', 12.0, 5.0),
    ('    -> Ascending, Descending, Transverse br', 12.0, 4.4),
    ('  Perforating A. x4 -> Post. thigh', 12.0, 3.8),
    ('Superficial branches (epigastric, pudendal)', 16.5, 6.8),
    ('Descending Genicular A.', 16.5, 6.2),
    ('-> Popliteal A. (thru adductor hiatus)', 16.5, 5.6),
]
for i, (txt, x, y) in enumerate(fem_items):
    col = '#689f38' if i % 2 == 0 else '#558b2f'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=4.4, height=0.42)
    draw_line(ax, fem_x, fem_y-0.33, x, y+0.21, '#dcedc8', lw=0.8, alpha=0.5)

# Popliteal
pop_x, pop_y = 20.0, 7.8
draw_node(ax, pop_x, pop_y, 'POPLITEAL A.', '#2e7d32', 'white', fontsize=9.5, width=2.8, height=0.65)
draw_line(ax, ll_x, ll_y-0.36, pop_x, pop_y+0.33, '#aed581', lw=1.8, alpha=0.6)

pop_items = [
    ('Sup. Lat. + Med. Genicular A.', 19.0, 6.8),
    ('Middle Genicular A. (ACL, PCL)', 19.0, 6.2),
    ('Inf. Lat. + Med. Genicular A.', 19.0, 5.6),
    ('-> Genicular (Peripatellar) Anastomosis', 19.0, 5.0),
    ('-> Ant. Tibial A. (thru interosseous)', 22.5, 6.8),
    ('-> Post. Tibial A.', 22.5, 6.2),
    ('  + Fibular (Peroneal) A. from Post. Tib.', 22.5, 5.6),
    ('Divides at lower border of popliteus', 22.5, 5.0),
]
for i, (txt, x, y) in enumerate(pop_items):
    col = '#388e3c' if i % 2 == 0 else '#2e7d32'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=4.2, height=0.42)
    draw_line(ax, pop_x, pop_y-0.33, x, y+0.21, '#c8e6c9', lw=0.8, alpha=0.5)

# Foot arteries
foot_x, foot_y = 22.0, 3.5
draw_node(ax, foot_x, foot_y, 'FOOT & ANKLE ARTERIES', '#1b5e20', 'white', fontsize=9.5, width=4.2, height=0.65)
draw_line(ax, pop_x, pop_y-0.33, foot_x, foot_y+0.33, '#81c784', lw=1.5, alpha=0.6)

foot_items = [
    ('Ant. Tibial A. -> Dorsalis Pedis A.', 19.5, 2.6),
    ('  Palpated: EHL to EDL tendons', 19.5, 2.0),
    ('  -> Arcuate A. -> Dorsal Metatarsals', 19.5, 1.4),
    ('  -> Deep Plantar Branch', 19.5, 0.8),
    ('Post. Tibial A. -> behind Med. Malleolus', 24.5, 2.6),
    ('  -> Medial Plantar A. -> Medial sole', 24.5, 2.0),
    ('  -> Lateral Plantar A. -> Plantar Arch', 24.5, 1.4),
    ('Fibular A. -> Peroneals + Calcaneus', 24.5, 0.8),
]
for i, (txt, x, y) in enumerate(foot_items):
    col = '#388e3c' if i % 2 == 0 else '#1b5e20'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=4.2, height=0.42)
    draw_line(ax, foot_x, foot_y-0.33, x, y+0.21, '#c8e6c9', lw=0.8, alpha=0.5)

# =============================================
# SECTION 8: KEY ANASTOMOSES (bottom-right)
# =============================================
ana_x, ana_y = 8.5, 3.0
draw_node(ax, ana_x, ana_y, 'KEY ANASTOMOSES', '#f57f17', 'white', fontsize=10.5, width=3.8, height=0.7)

ana_items = [
    ('Circle of Willis -> Cerebral collateral', 6.5, 2.0),
    ('Scapular Anastomosis -> Subclavian', 6.5, 1.4),
    ('Epigastric -> Coarctation of aorta', 6.5, 0.8),
    ('Cruciate -> Femoral artery block', 10.5, 2.0),
    ('Genicular -> Knee collateral', 10.5, 1.4),
    ('Marginal A. Drummond -> SMA/IMA', 10.5, 0.8),
]
for i, (txt, x, y) in enumerate(ana_items):
    col = '#f9a825' if i % 2 == 0 else '#f57f17'
    draw_node(ax, x, y, txt, col, '#0d1117', fontsize=6.3, width=3.8, height=0.42)
    draw_line(ax, ana_x, ana_y-0.35, x, y+0.21, '#fff9c4', lw=0.8, alpha=0.5)

# =============================================
# SPINAL CORD SUPPLY (mid-right)
# =============================================
sc_x, sc_y = 30.0, 6.5
draw_node(ax, sc_x, sc_y, 'SPINAL CORD SUPPLY', '#880e4f', 'white', fontsize=9.5, width=3.8, height=0.65)
draw_curved(ax, cx, cy-0.5, sc_x, sc_y+0.33, '#f48fb1', lw=1.8, alpha=0.5)

sc_items = [
    ('Ant. Spinal A. -> Ant. 2/3 cord', 29.0, 5.6),
    ('  (paired vertebrals unite)', 29.0, 5.0),
    ('Post. Spinal A. x2 -> Post. 1/3', 29.0, 4.4),
    ('Radicular A. -> reinforce at each level', 29.0, 3.8),
    ('A. of Adamkiewicz (T9-L2, L side)', 32.0, 5.6),
    ('  Major reinforcement lower cord!', 32.0, 5.0),
    ('Posterior Intercostal A. (segmental)', 32.0, 4.4),
    ('Lumbar A. (segmental)', 32.0, 3.8),
]
for i, (txt, x, y) in enumerate(sc_items):
    col = '#ad1457' if i % 2 == 0 else '#880e4f'
    draw_node(ax, x, y, txt, col, 'white', fontsize=6.2, width=4.0, height=0.42)
    draw_line(ax, sc_x, sc_y-0.33, x, y+0.21, '#f8bbd0', lw=0.8, alpha=0.5)

# =============================================
# COLOR-CODED LEGEND
# =============================================
legend_data = [
    ('#4a148c', 'Celiac Trunk (Foregut)'),
    ('#01579b', 'SMA (Midgut)'),
    ('#004d40', 'IMA (Hindgut)'),
    ('#e65100', 'Glands & Paired Visceral'),
    ('#1a237e', 'Iliac / Pelvis'),
    ('#33691e', 'Lower Limb'),
    ('#880e4f', 'Spinal Cord'),
    ('#f57f17', 'Anastomoses'),
]
lx, ly = 0.3, 11.0
draw_node(ax, lx+1.8, ly+0.7, 'COLOUR LEGEND', '#263238', 'white', fontsize=8.5, width=3.2, height=0.5)
for i, (col, label) in enumerate(legend_data):
    draw_node(ax, lx+1.8, ly - i*0.62, label, col, 'white', fontsize=6.8, width=3.5, height=0.44)

# Footer
ax.text(17, 0.28, "Part 2 of 2  |  Gray's Anatomy for Students  |  MBBS Year 1 Anatomy",
        ha='center', fontsize=8, color='#555555', style='italic')

plt.tight_layout()
plt.savefig('/home/daytona/workspace/arterial-mindmaps/arterial_mindmap_part2.png',
            dpi=180, bbox_inches='tight', facecolor='#0d1117')
print("Part 2 saved!")

import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.patches import FancyBboxPatch, Arc, Ellipse, FancyArrowPatch
from matplotlib.path import Path
import matplotlib.patheffects as pe
import numpy as np

fig, ax = plt.subplots(figsize=(22, 34))
ax.set_xlim(0, 22)
ax.set_ylim(0, 34)
ax.axis('off')
fig.patch.set_facecolor('#0a0a0f')
ax.set_facecolor('#0a0a0f')

# ─────────────────────────────────────────────
# HELPER FUNCTIONS
# ─────────────────────────────────────────────
def artery(ax, xs, ys, color='#e63946', lw=2, alpha=0.9, zorder=6):
    ax.plot(xs, ys, color=color, lw=lw, alpha=alpha,
            solid_capstyle='round', solid_joinstyle='round', zorder=zorder)

def bezier(ax, x1,y1, cx,cy, x2,y2, color='#e63946', lw=2, alpha=0.9, zorder=6):
    path = Path([(x1,y1),(cx,cy),(x2,y2)],
                [Path.MOVETO, Path.CURVE3, Path.CURVE3])
    patch = mpatches.PathPatch(path, facecolor='none',
                                edgecolor=color, lw=lw, alpha=alpha, zorder=zorder)
    ax.add_patch(patch)

def label(ax, x, y, txt, color='#ffffff', fs=6.5, ha='left', va='center',
          box_color=None, zorder=8):
    kw = dict(ha=ha, va=va, fontsize=fs, color=color, zorder=zorder,
              fontweight='bold')
    if box_color:
        kw['bbox'] = dict(boxstyle='round,pad=0.18', facecolor=box_color,
                           edgecolor='none', alpha=0.85)
    t = ax.text(x, y, txt, **kw)
    t.set_path_effects([pe.withStroke(linewidth=1.5, foreground='#0a0a0f')])

def leader(ax, lx, ly, ax_, ay, color='#888888', lw=0.8):
    ax.annotate('', xy=(ax_, ay), xytext=(lx, ly),
                arrowprops=dict(arrowstyle='-', color=color, lw=lw),
                zorder=5)

# ─────────────────────────────────────────────
# BODY SILHOUETTE  (simplified anatomical outline)
# ─────────────────────────────────────────────
body_color = '#1a1a2e'
outline_color = '#3a3a5c'

# --- HEAD ---
head = plt.Circle((11, 31.3), 1.3, color=body_color, zorder=3)
head_outline = plt.Circle((11, 31.3), 1.3, fill=False, edgecolor=outline_color, lw=1.5, zorder=4)
ax.add_patch(head)
ax.add_patch(head_outline)

# --- NECK ---
neck = mpatches.FancyBboxPatch((10.45, 29.7), 1.1, 0.7,
    boxstyle='round,pad=0.05', facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(neck)

# --- TORSO ---
torso_x = [9.0, 8.5, 8.3, 8.5, 9.2, 9.4, 9.2, 8.8, 8.6, 9.0,
           13.0, 13.4, 13.2, 12.8, 12.6, 13.0, 13.5, 13.7, 13.5, 13.0,
           9.0]
torso_y = [29.7, 28.5, 26.5, 24.5, 23.0, 21.5, 20.0, 18.5, 17.0, 15.5,
           15.5, 17.0, 18.5, 20.0, 21.5, 23.0, 24.5, 26.5, 28.5, 29.7,
           29.7]
torso_patch = plt.Polygon(list(zip(torso_x, torso_y)),
    facecolor=body_color, edgecolor=outline_color, lw=1.5, zorder=3)
ax.add_patch(torso_patch)

# --- LEFT ARM (anatomical left = viewer's right) ---
# Upper arm
l_uarm = plt.Polygon([(13.0,28.5),(13.8,28.2),(15.2,24.5),(14.5,24.2)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(l_uarm)
# Forearm
l_farm = plt.Polygon([(14.5,24.2),(15.2,24.5),(15.8,21.0),(15.1,20.8)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(l_farm)
# Hand
l_hand = plt.Polygon([(15.1,20.8),(15.8,21.0),(16.3,19.5),(15.6,19.3)],
    facecolor=body_color, edgecolor=outline_color, lw=1.0, zorder=3)
ax.add_patch(l_hand)

# --- RIGHT ARM ---
r_uarm = plt.Polygon([(9.0,28.5),(8.2,28.2),(6.8,24.5),(7.5,24.2)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(r_uarm)
r_farm = plt.Polygon([(7.5,24.2),(6.8,24.5),(6.2,21.0),(6.9,20.8)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(r_farm)
r_hand = plt.Polygon([(6.9,20.8),(6.2,21.0),(5.7,19.5),(6.4,19.3)],
    facecolor=body_color, edgecolor=outline_color, lw=1.0, zorder=3)
ax.add_patch(r_hand)

# --- LEFT LEG ---
l_thigh = plt.Polygon([(11.0,15.5),(12.5,15.5),(12.8,10.5),(11.3,10.5)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(l_thigh)
l_calf = plt.Polygon([(11.3,10.5),(12.8,10.5),(12.6,5.5),(11.1,5.5)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(l_calf)
l_foot = plt.Polygon([(11.1,5.5),(12.6,5.5),(13.2,4.5),(11.0,4.5)],
    facecolor=body_color, edgecolor=outline_color, lw=1.0, zorder=3)
ax.add_patch(l_foot)

# --- RIGHT LEG ---
r_thigh = plt.Polygon([(9.0,15.5),(10.5,15.5),(10.7,10.5),(9.2,10.5)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(r_thigh)
r_calf = plt.Polygon([(9.2,10.5),(10.7,10.5),(10.5,5.5),(9.0,5.5)],
    facecolor=body_color, edgecolor=outline_color, lw=1.2, zorder=3)
ax.add_patch(r_calf)
r_foot = plt.Polygon([(9.0,5.5),(10.5,5.5),(10.0,4.5),(8.8,4.5)],
    facecolor=body_color, edgecolor=outline_color, lw=1.0, zorder=3)
ax.add_patch(r_foot)

# ─────────────────────────────────────────────
# ARTERY COLORS BY SYSTEM
# ─────────────────────────────────────────────
C_AORTA   = '#ff1744'   # bright red - aorta main
C_HEAD    = '#ff6d00'   # orange - head/neck
C_UPPER   = '#00bfa5'   # teal - upper limb
C_HEART   = '#ff4081'   # pink - coronary
C_THORAX  = '#aa00ff'   # purple - thoracic
C_ABDOM   = '#2979ff'   # blue - abdomen
C_PELVIS  = '#00e5ff'   # cyan - pelvis
C_LOWER   = '#69f0ae'   # green - lower limb
C_CONNECT = '#ffea00'   # yellow - anastomoses/connections

# ─────────────────────────────────────────────
# AORTA  (central trunk)
# ─────────────────────────────────────────────
# Ascending aorta
artery(ax, [11, 11], [30.0, 28.8], C_AORTA, lw=4.5, zorder=7)
# Arch of aorta
bezier(ax, 11,28.8, 11.3,29.3, 11.8,29.0, C_AORTA, lw=4.5, zorder=7)
bezier(ax, 11.8,29.0, 12.5,28.7, 11.5,28.2, C_AORTA, lw=4.5, zorder=7)
# Descending thoracic aorta
artery(ax, [11.5, 11.2], [28.2, 22.5], C_AORTA, lw=4.5, zorder=7)
# Abdominal aorta
artery(ax, [11.2, 11.2], [22.5, 15.8], C_AORTA, lw=4.0, zorder=7)
# Bifurcation
artery(ax, [11.2, 10.5, 9.8], [15.8, 15.3, 15.0], C_AORTA, lw=3.0, zorder=7)  # right common iliac
artery(ax, [11.2, 11.9, 12.2], [15.8, 15.3, 15.0], C_AORTA, lw=3.0, zorder=7)  # left common iliac

# ─────────────────────────────────────────────
# HEAD & NECK ARTERIES
# ─────────────────────────────────────────────
# Brachiocephalic trunk from arch
artery(ax, [11.5, 10.8, 10.2], [28.8, 29.4, 30.0], C_HEAD, lw=2.5, zorder=7)
# Right Common Carotid
artery(ax, [10.2, 10.3, 10.4], [30.0, 30.5, 31.0], C_HEAD, lw=2.0, zorder=7)
# Right External Carotid (curves to face)
bezier(ax, 10.4,31.0, 10.0,31.5, 10.2,31.8, C_HEAD, lw=1.5)
# Right Internal Carotid (to brain)
artery(ax, [10.4, 10.6, 10.8], [31.0, 31.4, 31.6], C_HEAD, lw=1.5, zorder=7)

# Left Common Carotid directly from arch
artery(ax, [11.8, 11.7, 11.6], [29.0, 29.8, 30.5], C_HEAD, lw=2.0, zorder=7)
# Left External Carotid
bezier(ax, 11.6,30.5, 12.0,31.2, 11.8,31.8, C_HEAD, lw=1.5)
# Left Internal Carotid
artery(ax, [11.6, 11.4, 11.3], [30.5, 31.2, 31.6], C_HEAD, lw=1.5)

# Vertebral arteries (up through neck)
artery(ax, [10.6, 10.7, 10.9, 11.0], [29.8, 30.2, 30.8, 31.2], C_HEAD, lw=1.2, alpha=0.8)
artery(ax, [11.4, 11.3, 11.1, 11.0], [29.8, 30.2, 30.8, 31.2], C_HEAD, lw=1.2, alpha=0.8)
# Basilar artery (circle of willis at base of brain)
artery(ax, [10.8, 11.0, 11.2], [31.5, 31.8, 31.5], C_HEAD, lw=1.2, alpha=0.8)

# Facial artery
bezier(ax, 10.2,31.5, 10.0,31.9, 10.3,32.2, C_HEAD, lw=1.0, alpha=0.7)
bezier(ax, 11.8,31.5, 12.0,31.9, 11.7,32.2, C_HEAD, lw=1.0, alpha=0.7)

# Superior thyroid arteries
artery(ax, [10.3, 10.5, 10.7], [30.5, 30.2, 30.0], C_HEAD, lw=1.0, alpha=0.7)
artery(ax, [11.7, 11.5, 11.3], [30.5, 30.2, 30.0], C_HEAD, lw=1.0, alpha=0.7)

# ─────────────────────────────────────────────
# SUBCLAVIAN + UPPER LIMB  (RIGHT side = viewer left)
# ─────────────────────────────────────────────
# Right subclavian from brachiocephalic
artery(ax, [10.2, 9.5, 8.8], [30.0, 29.5, 28.8], C_UPPER, lw=2.2, zorder=7)
# Right axillary
artery(ax, [8.8, 8.0, 7.5], [28.8, 28.2, 27.5], C_UPPER, lw=2.0)
# Right brachial
artery(ax, [7.5, 7.2, 6.9], [27.5, 26.0, 24.5], C_UPPER, lw=1.8)
# Right radial
bezier(ax, 6.9,24.5, 6.7,23.0, 6.6,21.5, C_UPPER, lw=1.4)
bezier(ax, 6.6,21.5, 6.5,20.5, 6.4,19.8, C_UPPER, lw=1.2)
# Right ulnar
bezier(ax, 6.9,24.5, 7.1,23.0, 7.0,21.5, C_UPPER, lw=1.4)
bezier(ax, 7.0,21.5, 6.9,20.5, 6.8,19.8, C_UPPER, lw=1.2)
# Right palmar arch connection
artery(ax, [6.4,19.8, 6.8,19.8], [19.8, 19.8], C_CONNECT, lw=1.2, alpha=0.8)
# Deep palmar arch (deeper)
artery(ax, [6.3,19.5, 6.9,19.5], [19.5, 19.5], C_CONNECT, lw=0.9, alpha=0.6)

# Left subclavian directly from arch
artery(ax, [11.8, 12.5, 13.2], [29.0, 29.5, 28.8], C_UPPER, lw=2.2, zorder=7)
# Left axillary
artery(ax, [13.2, 14.0, 14.5], [28.8, 28.2, 27.5], C_UPPER, lw=2.0)
# Left brachial
artery(ax, [14.5, 14.8, 15.1], [27.5, 26.0, 24.5], C_UPPER, lw=1.8)
# Left radial
bezier(ax, 15.1,24.5, 15.3,23.0, 15.4,21.5, C_UPPER, lw=1.4)
bezier(ax, 15.4,21.5, 15.5,20.5, 15.6,19.8, C_UPPER, lw=1.2)
# Left ulnar
bezier(ax, 15.1,24.5, 14.9,23.0, 15.0,21.5, C_UPPER, lw=1.4)
bezier(ax, 15.0,21.5, 15.1,20.5, 15.2,19.8, C_UPPER, lw=1.2)
# Left palmar arch
artery(ax, [15.2, 15.6, 15.2], [19.8, 19.8], C_CONNECT, lw=1.2, alpha=0.8)
artery(ax, [15.1, 15.7], [19.5, 19.5], C_CONNECT, lw=0.9, alpha=0.6)

# Profunda brachii (deep arm - right)
bezier(ax, 7.5,27.5, 7.8,26.5, 8.0,25.5, C_UPPER, lw=1.0, alpha=0.6)
# Profunda brachii (left)
bezier(ax, 14.5,27.5, 14.2,26.5, 14.0,25.5, C_UPPER, lw=1.0, alpha=0.6)

# ─────────────────────────────────────────────
# CORONARY ARTERIES
# ─────────────────────────────────────────────
# RCA (curves around right side of heart)
bezier(ax, 11.0,27.2, 10.2,26.8, 10.0,26.0, C_HEART, lw=1.5, alpha=0.9)
bezier(ax, 10.0,26.0, 9.8,25.3, 10.2,24.8, C_HEART, lw=1.3, alpha=0.8)
# LCA / LAD (left anterior descending)
bezier(ax, 11.0,27.2, 11.2,26.5, 11.0,25.5, C_HEART, lw=1.5, alpha=0.9)
bezier(ax, 11.0,25.5, 10.9,24.8, 11.0,24.2, C_HEART, lw=1.3, alpha=0.8)
# Circumflex
bezier(ax, 11.0,27.2, 11.8,26.8, 12.0,26.0, C_HEART, lw=1.3, alpha=0.8)
bezier(ax, 12.0,26.0, 12.2,25.3, 11.8,24.8, C_HEART, lw=1.1, alpha=0.7)
# Posterior descending
bezier(ax, 10.2,24.8, 10.8,24.4, 11.0,24.2, C_CONNECT, lw=1.0, alpha=0.7)

# ─────────────────────────────────────────────
# THORACIC AORTA BRANCHES
# ─────────────────────────────────────────────
# Posterior intercostal arteries (pairs - simplified)
for yi, lw_ in zip([27.5, 26.8, 26.1, 25.4, 24.7, 24.0, 23.3], [1.0]*7):
    xc = 11.2 + (28.2 - yi) * 0.05  # slight rightward shift of descending aorta
    artery(ax, [xc, xc-1.4], [yi, yi], C_THORAX, lw=lw_, alpha=0.6)
    artery(ax, [xc, xc+1.4], [yi, yi], C_THORAX, lw=lw_, alpha=0.6)

# Internal thoracic arteries (bilateral, run vertically inside chest)
artery(ax, [10.0, 9.9, 9.8, 9.8], [29.5, 28.0, 26.0, 23.5], C_THORAX, lw=1.2, alpha=0.75)
artery(ax, [12.0, 12.1, 12.2, 12.2], [29.5, 28.0, 26.0, 23.5], C_THORAX, lw=1.2, alpha=0.75)
# Superior epigastric (continues down)
artery(ax, [9.8, 9.8], [23.5, 22.0], C_THORAX, lw=1.0, alpha=0.65)
artery(ax, [12.2, 12.2], [23.5, 22.0], C_THORAX, lw=1.0, alpha=0.65)

# ─────────────────────────────────────────────
# ABDOMINAL BRANCHES
# ─────────────────────────────────────────────
# Celiac trunk
artery(ax, [11.2, 11.2], [22.5, 22.0], C_ABDOM, lw=2.0, zorder=7)
artery(ax, [11.2, 10.2, 9.5], [22.0, 21.8, 21.5], C_ABDOM, lw=1.5)   # left gastric
artery(ax, [11.2, 11.5, 12.5], [22.0, 21.7, 21.2], C_ABDOM, lw=1.5)  # common hepatic
artery(ax, [11.2, 10.8, 9.8], [22.0, 21.5, 21.0], C_ABDOM, lw=1.5)   # splenic

# SMA
artery(ax, [11.2, 11.2], [21.5, 21.0], C_ABDOM, lw=2.2, zorder=7)
bezier(ax, 11.2,21.0, 10.5,20.5, 9.5,20.0, C_ABDOM, lw=1.4)
bezier(ax, 11.2,21.0, 11.5,20.5, 12.5,20.0, C_ABDOM, lw=1.4)
bezier(ax, 11.2,21.0, 10.8,20.2, 10.2,19.5, C_ABDOM, lw=1.2, alpha=0.7)
bezier(ax, 11.2,21.0, 11.6,20.2, 12.2,19.5, C_ABDOM, lw=1.2, alpha=0.7)
bezier(ax, 11.2,21.0, 10.5,19.8, 10.0,19.0, C_ABDOM, lw=1.0, alpha=0.6)

# IMA
artery(ax, [11.2, 11.2], [18.5, 18.0], C_ABDOM, lw=1.8, zorder=7)
bezier(ax, 11.2,18.0, 10.8,17.5, 10.0,17.0, C_ABDOM, lw=1.3)   # left colic
bezier(ax, 11.2,18.0, 11.0,17.3, 10.8,16.5, C_ABDOM, lw=1.2)   # sigmoid
bezier(ax, 11.2,18.0, 11.2,17.2, 11.2,16.5, C_ABDOM, lw=1.2)   # superior rectal

# Renal arteries
artery(ax, [11.2, 9.8, 9.2], [20.8, 20.8, 20.8], C_ABDOM, lw=2.0, zorder=7)  # right renal
artery(ax, [11.2, 12.6, 13.2], [20.8, 20.8, 20.8], C_ABDOM, lw=2.0, zorder=7)  # left renal

# Suprarenal arteries
artery(ax, [9.5, 9.2, 9.0], [21.5, 21.2, 21.0], C_ABDOM, lw=1.0, alpha=0.7)  # right supra
artery(ax, [12.9, 13.2, 13.4], [21.5, 21.2, 21.0], C_ABDOM, lw=1.0, alpha=0.7)  # left supra

# Inferior phrenic
artery(ax, [11.2, 10.0, 9.5], [22.8, 22.9, 23.0], C_ABDOM, lw=1.0, alpha=0.7)
artery(ax, [11.2, 12.4, 12.9], [22.8, 22.9, 23.0], C_ABDOM, lw=1.0, alpha=0.7)

# Gonadal arteries (long, go down to pelvis)
artery(ax, [11.0, 10.2, 9.8], [20.2, 18.5, 17.0], C_ABDOM, lw=0.9, alpha=0.6)
artery(ax, [11.4, 12.2, 12.6], [20.2, 18.5, 17.0], C_ABDOM, lw=0.9, alpha=0.6)

# Lumbar arteries (4 pairs)
for yi in [22.2, 21.5, 20.8, 20.1]:
    artery(ax, [11.2, 10.0], [yi, yi], C_THORAX, lw=0.8, alpha=0.5)
    artery(ax, [11.2, 12.4], [yi, yi], C_THORAX, lw=0.8, alpha=0.5)

# Inferior epigastric (from ext iliac, anastomoses with sup epigastric)
artery(ax, [9.8, 9.8], [16.5, 22.0], C_CONNECT, lw=1.0, alpha=0.65)  # right side
artery(ax, [12.2, 12.2], [16.5, 22.0], C_CONNECT, lw=1.0, alpha=0.65)  # left side

# ─────────────────────────────────────────────
# PELVIS / ILIAC ARTERIES
# ─────────────────────────────────────────────
# Right common iliac -> ext + int iliac
artery(ax, [10.5, 10.0, 9.5], [15.3, 15.0, 14.5], C_PELVIS, lw=2.5, zorder=7)
# Right external iliac
artery(ax, [9.5, 9.3, 9.2], [14.5, 14.0, 13.5], C_PELVIS, lw=2.0)
# Right internal iliac
artery(ax, [9.5, 9.8, 10.2], [14.5, 14.0, 13.5], C_PELVIS, lw=1.8)
# Right internal iliac branches
bezier(ax, 10.2,13.5, 10.5,13.0, 10.8,12.5, C_PELVIS, lw=1.2, alpha=0.8)  # superior gluteal
bezier(ax, 10.2,13.5, 9.8,13.0, 9.5,12.5, C_PELVIS, lw=1.0, alpha=0.7)   # obturator
bezier(ax, 10.2,13.5, 10.3,12.8, 10.4,12.0, C_PELVIS, lw=1.0, alpha=0.7)  # int pudendal

# Left common iliac -> ext + int iliac
artery(ax, [11.9, 12.4, 12.9], [15.3, 15.0, 14.5], C_PELVIS, lw=2.5, zorder=7)
# Left external iliac
artery(ax, [12.9, 13.1, 13.2], [14.5, 14.0, 13.5], C_PELVIS, lw=2.0)
# Left internal iliac
artery(ax, [12.9, 12.6, 12.2], [14.5, 14.0, 13.5], C_PELVIS, lw=1.8)
# Left internal iliac branches
bezier(ax, 12.2,13.5, 11.9,13.0, 11.6,12.5, C_PELVIS, lw=1.2, alpha=0.8)
bezier(ax, 12.2,13.5, 12.6,13.0, 12.9,12.5, C_PELVIS, lw=1.0, alpha=0.7)
bezier(ax, 12.2,13.5, 12.1,12.8, 12.0,12.0, C_PELVIS, lw=1.0, alpha=0.7)

# ─────────────────────────────────────────────
# LOWER LIMB  (RIGHT leg = viewer's left)
# ─────────────────────────────────────────────
# Right femoral artery
artery(ax, [9.2, 9.5, 9.8, 10.0], [13.5, 12.0, 10.5, 9.5], C_LOWER, lw=2.2, zorder=7)
# Right profunda femoris
bezier(ax, 9.5,12.0, 8.8,11.5, 8.5,10.5, C_LOWER, lw=1.5, alpha=0.8)
# Perforating arteries
for yi in [11.5, 11.0, 10.5]:
    bezier(ax, 8.8,yi, 9.0,yi-0.2, 9.5,yi-0.3, C_LOWER, lw=0.9, alpha=0.6)
# Right popliteal
artery(ax, [10.0, 9.9, 9.8], [9.5, 9.0, 8.5], C_LOWER, lw=2.0)
# Genicular arteries
artery(ax, [9.8, 9.4], [9.0, 9.0], C_CONNECT, lw=1.0, alpha=0.7)
artery(ax, [9.8, 10.2], [9.0, 9.0], C_CONNECT, lw=1.0, alpha=0.7)
artery(ax, [9.8, 9.3], [8.8, 8.8], C_CONNECT, lw=1.0, alpha=0.7)
artery(ax, [9.8, 10.3], [8.8, 8.8], C_CONNECT, lw=1.0, alpha=0.7)
# Right anterior tibial
artery(ax, [9.8, 9.5, 9.3], [8.5, 7.0, 5.8], C_LOWER, lw=1.5)
# Right posterior tibial
artery(ax, [9.8, 10.2, 10.4], [8.5, 7.0, 5.8], C_LOWER, lw=1.5)
# Right fibular
bezier(ax, 9.8,8.5, 10.5,7.5, 10.6,6.5, C_LOWER, lw=1.2, alpha=0.7)
# Right dorsalis pedis
artery(ax, [9.3, 9.2, 9.1], [5.8, 5.3, 4.8], C_LOWER, lw=1.2)
# Right plantar arteries
artery(ax, [10.4, 10.2, 9.5], [5.8, 5.2, 5.0], C_LOWER, lw=1.2)
artery(ax, [9.1, 9.4, 9.8, 10.2], [4.8, 4.7, 4.7, 4.8], C_CONNECT, lw=1.0, alpha=0.8)

# LEFT LEG (viewer right)
# Left femoral
artery(ax, [13.2, 12.9, 12.6, 12.4], [13.5, 12.0, 10.5, 9.5], C_LOWER, lw=2.2, zorder=7)
# Left profunda femoris
bezier(ax, 12.9,12.0, 13.6,11.5, 13.9,10.5, C_LOWER, lw=1.5, alpha=0.8)
# Perforating
for yi in [11.5, 11.0, 10.5]:
    bezier(ax, 13.6,yi, 13.4,yi-0.2, 12.9,yi-0.3, C_LOWER, lw=0.9, alpha=0.6)
# Left popliteal
artery(ax, [12.4, 12.5, 12.6], [9.5, 9.0, 8.5], C_LOWER, lw=2.0)
# Genicular
artery(ax, [12.6, 12.2], [9.0, 9.0], C_CONNECT, lw=1.0, alpha=0.7)
artery(ax, [12.6, 13.1], [9.0, 9.0], C_CONNECT, lw=1.0, alpha=0.7)
artery(ax, [12.6, 12.1], [8.8, 8.8], C_CONNECT, lw=1.0, alpha=0.7)
artery(ax, [12.6, 13.1], [8.8, 8.8], C_CONNECT, lw=1.0, alpha=0.7)
# Left anterior tibial
artery(ax, [12.6, 12.9, 13.1], [8.5, 7.0, 5.8], C_LOWER, lw=1.5)
# Left posterior tibial
artery(ax, [12.6, 12.2, 12.0], [8.5, 7.0, 5.8], C_LOWER, lw=1.5)
# Left fibular
bezier(ax, 12.6,8.5, 11.9,7.5, 11.8,6.5, C_LOWER, lw=1.2, alpha=0.7)
# Left dorsalis pedis
artery(ax, [13.1, 13.2, 13.3], [5.8, 5.3, 4.8], C_LOWER, lw=1.2)
# Left plantar
artery(ax, [12.0, 12.2, 12.9], [5.8, 5.2, 5.0], C_LOWER, lw=1.2)
artery(ax, [13.3, 13.0, 12.6, 12.2], [4.8, 4.7, 4.7, 4.8], C_CONNECT, lw=1.0, alpha=0.8)

# Median sacral artery
artery(ax, [11.2, 11.2, 11.2], [15.5, 14.5, 13.5], C_ABDOM, lw=0.9, alpha=0.5)

# ─────────────────────────────────────────────
# TITLE + LABELS
# ─────────────────────────────────────────────
ax.text(11, 33.7, 'ARTERIAL SUPPLY OF THE HUMAN BODY', ha='center', va='center',
        fontsize=16, color='white', fontweight='bold',
        bbox=dict(boxstyle='round,pad=0.4', facecolor='#8B0000', edgecolor='#ff4444', lw=2))
ax.text(11, 33.2, 'Complete Vascular Map  |  MBBS Year 1 Anatomy  |  Gray\'s Anatomy for Students',
        ha='center', fontsize=8.5, color='#aaaaaa')

# ─────────────────────────────────────────────
# ARTERY LABELS  (Left side = viewer's left, labels placed outside body)
# ─────────────────────────────────────────────

# --- HEAD & NECK labels (right side labels) ---
label(ax, 13.5, 32.2, 'Facial A.', C_HEAD, fs=6.2)
leader(ax, 13.4, 32.2, 11.8, 32.1, C_HEAD)

label(ax, 13.5, 31.6, 'Superficial Temporal A.', C_HEAD, fs=6.2)
leader(ax, 13.4, 31.6, 12.0, 31.8, C_HEAD)

label(ax, 13.5, 31.0, 'L. Internal Carotid A.', C_HEAD, fs=6.2)
leader(ax, 13.4, 31.0, 11.4, 31.2, C_HEAD)

label(ax, 13.5, 30.4, 'L. Common Carotid A.', C_HEAD, fs=6.2)
leader(ax, 13.4, 30.4, 11.7, 30.5, C_HEAD)

label(ax, 13.5, 29.8, 'L. Subclavian A.', C_UPPER, fs=6.2)
leader(ax, 13.4, 29.8, 12.5, 29.5, C_UPPER)

# Left side (viewer's left = anatomical right)
label(ax, 8.5, 32.2, 'R. External Carotid A.', C_HEAD, fs=6.2, ha='right')
leader(ax, 8.6, 32.2, 10.2, 31.8, C_HEAD)

label(ax, 8.5, 31.6, 'R. Internal Carotid A.', C_HEAD, fs=6.2, ha='right')
leader(ax, 8.6, 31.6, 10.6, 31.4, C_HEAD)

label(ax, 8.5, 31.0, 'Vertebral A. (→ Basilar)', C_HEAD, fs=6.2, ha='right')
leader(ax, 8.6, 31.0, 10.7, 30.5, C_HEAD)

label(ax, 8.5, 30.4, 'R. Common Carotid A.', C_HEAD, fs=6.2, ha='right')
leader(ax, 8.6, 30.4, 10.3, 30.5, C_HEAD)

label(ax, 8.5, 29.8, 'Brachiocephalic Trunk', C_HEAD, fs=6.2, ha='right')
leader(ax, 8.6, 29.8, 10.5, 29.8, C_HEAD)

label(ax, 8.5, 29.2, 'R. Subclavian A.', C_UPPER, fs=6.2, ha='right')
leader(ax, 8.6, 29.2, 9.5, 29.3, C_UPPER)

# --- AORTA label (center) ---
label(ax, 11.6, 28.8, 'Arch of Aorta', C_AORTA, fs=7.5, ha='left')
label(ax, 11.8, 27.2, 'Descending\nThoracic Aorta', C_AORTA, fs=6.2, ha='left')
label(ax, 11.8, 22.5, 'Abdominal Aorta', C_AORTA, fs=6.5, ha='left')
label(ax, 11.8, 15.8, 'Bifurcation (L4)', C_AORTA, fs=6.0, ha='left')

# --- CORONARY (center labels) ---
label(ax, 9.2, 27.2, 'RCA', C_HEART, fs=6.0, ha='right')
label(ax, 11.2, 25.5, 'LAD', C_HEART, fs=6.0, ha='left')
label(ax, 12.5, 26.0, 'Circumflex A.', C_HEART, fs=6.0)

# --- THORAX labels ---
label(ax, 7.8, 26.0, 'Post. Intercostal\nArteries (3-11)', C_THORAX, fs=6.0, ha='right')
label(ax, 8.5, 28.0, 'Internal Thoracic A.', C_THORAX, fs=6.0, ha='right')
leader(ax, 8.5, 28.0, 10.0, 27.5, C_THORAX)

# --- UPPER LIMB ---
label(ax, 5.5, 28.0, 'R. Axillary A.', C_UPPER, fs=6.2, ha='right')
leader(ax, 5.6, 28.0, 7.5, 27.5, C_UPPER)

label(ax, 5.5, 26.5, 'R. Brachial A.', C_UPPER, fs=6.2, ha='right')
leader(ax, 5.6, 26.5, 7.0, 26.0, C_UPPER)

label(ax, 5.0, 23.0, 'R. Radial A.', C_UPPER, fs=6.2, ha='right')
leader(ax, 5.1, 23.0, 6.5, 22.5, C_UPPER)

label(ax, 5.0, 22.0, 'R. Ulnar A.', C_UPPER, fs=6.2, ha='right')
leader(ax, 5.1, 22.0, 6.9, 22.0, C_UPPER)

label(ax, 5.0, 19.8, 'Superficial Palmar\nArch (Ulnar)', C_CONNECT, fs=6.0, ha='right')
leader(ax, 5.1, 19.8, 6.5, 19.8, C_CONNECT)

label(ax, 5.0, 18.8, 'Deep Palmar Arch\n(Radial)', C_CONNECT, fs=6.0, ha='right')
leader(ax, 5.1, 18.8, 6.4, 19.5, C_CONNECT)

# LEFT arm labels
label(ax, 16.2, 28.0, 'L. Axillary A.', C_UPPER, fs=6.2)
leader(ax, 16.1, 28.0, 14.5, 27.5, C_UPPER)

label(ax, 16.2, 26.5, 'L. Brachial A.', C_UPPER, fs=6.2)
leader(ax, 16.1, 26.5, 15.1, 26.0, C_UPPER)

label(ax, 16.2, 23.0, 'L. Radial A.', C_UPPER, fs=6.2)
leader(ax, 16.1, 23.0, 15.5, 22.5, C_UPPER)

label(ax, 16.2, 22.0, 'L. Ulnar A.', C_UPPER, fs=6.2)
leader(ax, 16.1, 22.0, 15.1, 22.0, C_UPPER)

label(ax, 16.2, 19.8, 'Superficial Palmar\nArch', C_CONNECT, fs=6.0)
leader(ax, 16.1, 19.8, 15.5, 19.8, C_CONNECT)

# --- ABDOMINAL ---
label(ax, 7.5, 22.0, 'Celiac Trunk (T12)\n↳ L.Gastric, Hepatic,\n   Splenic', C_ABDOM, fs=6.0, ha='right')
leader(ax, 7.6, 22.0, 11.2, 22.0, C_ABDOM)

label(ax, 7.5, 20.8, 'R. Renal A.', C_ABDOM, fs=6.2, ha='right')
leader(ax, 7.6, 20.8, 9.5, 20.8, C_ABDOM)

label(ax, 14.5, 20.8, 'L. Renal A.', C_ABDOM, fs=6.2)
leader(ax, 14.4, 20.8, 12.8, 20.8, C_ABDOM)

label(ax, 7.5, 20.0, 'SMA (L1)\n↳ Jejunal, Ileal,\n   Ileocolic, Colics', C_ABDOM, fs=6.0, ha='right')
leader(ax, 7.6, 20.0, 11.2, 21.0, C_ABDOM)

label(ax, 7.5, 18.0, 'IMA (L3)\n↳ L.Colic, Sigmoid,\n   Sup. Rectal A.', C_ABDOM, fs=6.0, ha='right')
leader(ax, 7.6, 18.0, 11.2, 18.0, C_ABDOM)

label(ax, 14.5, 21.5, 'Suprarenal A.\n(triple supply)', C_ABDOM, fs=6.0)
leader(ax, 14.4, 21.5, 13.2, 21.2, C_ABDOM)

label(ax, 14.5, 19.5, 'Gonadal A.\n(Testicular/Ovarian)', C_ABDOM, fs=6.0)
leader(ax, 14.4, 19.5, 12.4, 19.0, C_ABDOM)

label(ax, 14.5, 16.5, 'Inf. Epigastric A.\n(Anastomoses with\nSup. Epigastric)', C_CONNECT, fs=6.0)
leader(ax, 14.4, 16.5, 12.2, 17.5, C_CONNECT)

# --- PELVIS ---
label(ax, 7.5, 14.5, 'R. Common Iliac A.', C_PELVIS, fs=6.2, ha='right')
leader(ax, 7.6, 14.5, 9.8, 15.0, C_PELVIS)

label(ax, 7.5, 13.8, 'R. External Iliac A.', C_PELVIS, fs=6.2, ha='right')
leader(ax, 7.6, 13.8, 9.3, 14.0, C_PELVIS)

label(ax, 7.5, 13.1, 'R. Internal Iliac A.\n(Hypogastric)', C_PELVIS, fs=6.0, ha='right')
leader(ax, 7.6, 13.1, 9.8, 13.5, C_PELVIS)

label(ax, 14.5, 14.5, 'L. Common Iliac A.', C_PELVIS, fs=6.2)
leader(ax, 14.4, 14.5, 12.5, 15.0, C_PELVIS)

label(ax, 14.5, 13.8, 'L. External Iliac A.', C_PELVIS, fs=6.2)
leader(ax, 14.4, 13.8, 13.1, 14.0, C_PELVIS)

label(ax, 14.5, 13.1, 'L. Internal Iliac A.\n↳ Sup. Gluteal\n↳ Obturator\n↳ Uterine/Vesical', C_PELVIS, fs=6.0)
leader(ax, 14.4, 13.1, 12.5, 13.5, C_PELVIS)

# --- LOWER LIMB ---
label(ax, 7.5, 12.0, 'R. Femoral A.', C_LOWER, fs=6.2, ha='right')
leader(ax, 7.6, 12.0, 9.5, 12.0, C_LOWER)

label(ax, 7.5, 11.0, 'Profunda Femoris A.\n↳ Med/Lat Circumflex\n↳ Perforating A. x4', C_LOWER, fs=6.0, ha='right')
leader(ax, 7.6, 11.0, 8.8, 11.5, C_LOWER)

label(ax, 7.5, 9.2, 'R. Popliteal A.', C_LOWER, fs=6.2, ha='right')
leader(ax, 7.6, 9.2, 9.8, 9.0, C_LOWER)

label(ax, 7.5, 8.5, 'Genicular\nAnastomosis', C_CONNECT, fs=6.0, ha='right')
leader(ax, 7.6, 8.5, 9.4, 9.0, C_CONNECT)

label(ax, 7.5, 7.2, 'R. Ant. Tibial A.', C_LOWER, fs=6.2, ha='right')
leader(ax, 7.6, 7.2, 9.4, 7.0, C_LOWER)

label(ax, 7.5, 6.5, 'R. Post. Tibial A.', C_LOWER, fs=6.2, ha='right')
leader(ax, 7.6, 6.5, 10.3, 6.5, C_LOWER)

label(ax, 7.5, 5.8, 'R. Fibular A.', C_LOWER, fs=6.2, ha='right')
leader(ax, 7.6, 5.8, 10.5, 6.5, C_LOWER)

label(ax, 7.5, 5.0, 'Dorsalis Pedis A.', C_LOWER, fs=6.2, ha='right')
leader(ax, 7.6, 5.0, 9.2, 5.2, C_LOWER)

label(ax, 7.5, 4.3, 'Plantar Arch\n(Medial + Lateral)', C_CONNECT, fs=6.0, ha='right')
leader(ax, 7.6, 4.3, 9.5, 4.8, C_CONNECT)

# RIGHT LOWER LIMB labels
label(ax, 14.5, 12.0, 'L. Femoral A.', C_LOWER, fs=6.2)
leader(ax, 14.4, 12.0, 12.9, 12.0, C_LOWER)

label(ax, 14.5, 9.2, 'L. Popliteal A.', C_LOWER, fs=6.2)
leader(ax, 14.4, 9.2, 12.6, 9.0, C_LOWER)

label(ax, 14.5, 7.2, 'L. Ant. Tibial A.', C_LOWER, fs=6.2)
leader(ax, 14.4, 7.2, 13.0, 7.0, C_LOWER)

label(ax, 14.5, 6.5, 'L. Post. Tibial A.', C_LOWER, fs=6.2)
leader(ax, 14.4, 6.5, 12.1, 6.5, C_LOWER)

label(ax, 14.5, 5.0, 'L. Dorsalis Pedis A.', C_LOWER, fs=6.2)
leader(ax, 14.4, 5.0, 13.2, 5.2, C_LOWER)

label(ax, 14.5, 4.3, 'L. Plantar Arch', C_CONNECT, fs=6.2)
leader(ax, 14.4, 4.3, 12.8, 4.8, C_CONNECT)

# ─────────────────────────────────────────────
# COLOR LEGEND (bottom)
# ─────────────────────────────────────────────
legend_items = [
    (C_AORTA,   'Aorta (Main Trunk)'),
    (C_HEAD,    'Head, Neck & Carotids'),
    (C_UPPER,   'Upper Limb'),
    (C_HEART,   'Coronary Arteries'),
    (C_THORAX,  'Thoracic Branches'),
    (C_ABDOM,   'Abdominal Branches'),
    (C_PELVIS,  'Iliac / Pelvis'),
    (C_LOWER,   'Lower Limb'),
    (C_CONNECT, 'Anastomoses / Arches'),
]
lx0 = 0.3
ly0 = 3.6
ax.text(11, ly0 + 0.3, 'COLOUR KEY', ha='center', fontsize=8, color='white', fontweight='bold')
for i, (col, txt) in enumerate(legend_items):
    col_x = lx0 + (i % 5) * 4.3
    col_y = ly0 - (i // 5) * 0.55
    rect = FancyBboxPatch((col_x, col_y-0.18), 0.35, 0.36,
                           boxstyle='round,pad=0.04', facecolor=col, zorder=8)
    ax.add_patch(rect)
    ax.text(col_x + 0.45, col_y, txt, fontsize=6.5, color='white', va='center', zorder=9)

ax.text(11, 0.28, "Source: Gray's Anatomy for Students  |  MBBS Year 1  |  All connections shown",
        ha='center', fontsize=7.5, color='#666666', style='italic')

plt.tight_layout(pad=0.2)
plt.savefig('/home/daytona/workspace/arterial-mindmaps/body_arteries_full.png',
            dpi=200, bbox_inches='tight', facecolor='#0a0a0f')
print("Saved body diagram!")

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/arterial-mindmaps/body_arteries.py'

Successfully replaced 1 instance(s) of the string in '/home/daytona/workspace/arterial-mindmaps/body_arteries.py'