can you label this image and give (USG of cricoid and tracheal rings)
A labeled educational diagram of a longitudinal (sagittal) ultrasound image of the anterior neck showing cricoid and tracheal rings. The image should show a realistic grayscale ultrasound with clearly labeled anatomical structures using arrows and text labels. From top (superficial) to bottom (deep): 1. "Skin" at the very top, 2. "Subcutaneous tissue" just below skin, 3. "Strap muscles (Sternohyoid/Sternothyroid)" as a thin hypoechoic band, 4. "Cricoid cartilage" on the left/superior side as a large hypoechoic dome-shaped structure, 5. "Tracheal rings (T1, T2, T3)" to the right as multiple small rounded hypoechoic structures in a 'string of pearls' pattern, 6. "Air-mucosa (A-M) interface" as a bright hyperechoic horizontal line deep to the rings, 7. "Posterior acoustic shadowing" below the air-mucosa interface. Include a label "Superior" on the left and "Inferior" on the right. Style: clean medical educational diagram with white labels and arrows on the ultrasound grayscale background.

| Structure | USG Appearance | Location in Image |
|---|---|---|
| Skin | Thin hyperechoic line | Very top of image |
| Subcutaneous tissue | Mixed echogenicity thin band | Just below skin |
| Strap muscles (Sternohyoid / Sternothyroid) | Thin, hypoechoic horizontal band | Superficial to cartilages |
| Cricoid cartilage | Larger, dome-shaped hypoechoic structure | Left/superior side |
| Tracheal rings (T1, T2, T3...) | Series of small, rounded hypoechoic structures - "string of pearls" sign | Right/inferior side |
| Air-Mucosa (A-M) interface | Bright, continuous hyperechoic (white) horizontal line | Deep to the rings |
| Posterior acoustic shadowing | Dark/anechoic area below A-M interface | Deepest part of image |
can you label in the same image and give me please
ls -la /tmp/workspace/ 2>/dev/null || mkdir -p /tmp/workspace && ls -la /tmp/workspace/
mkdir -p /tmp/workspace/usg-labels && curl -s -o /tmp/workspace/usg-labels/original.png "https://d361swluvexzqs.cloudfront.net/chats-attachments/Screenshot-2026-07-19-005116-1784402870767-zfx6zn.png" && echo "Downloaded" && python3 -c "from PIL import Image; img = Image.open('/tmp/workspace/usg-labels/original.png'); print('Size:', img.size, 'Mode:', img.mode)"
~/usg-labels/label.py
from PIL import Image, ImageDraw, ImageFont
import os
img = Image.open('/tmp/workspace/usg-labels/original.png').convert('RGBA')
overlay = Image.new('RGBA', img.size, (0, 0, 0, 0))
draw = ImageDraw.Draw(overlay)
W, H = img.size # 722 x 322
# Try to load a decent font, fallback to default
try:
font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 13)
font_small = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 11)
except:
font = ImageFont.load_default()
font_small = font
YELLOW = (255, 230, 0, 255)
WHITE = (255, 255, 255, 255)
CYAN = (0, 220, 255, 255)
GREEN = (0, 255, 120, 255)
RED = (255, 80, 80, 255)
ORANGE = (255, 160, 40, 255)
BLACK_T= (0, 0, 0, 180)
def draw_label(draw, text, tip_xy, label_xy, color=YELLOW, font=font):
"""Draw arrow from tip_xy to label_xy, then text."""
tx, ty = tip_xy
lx, ly = label_xy
# arrow line
draw.line([tx, ty, lx, ly], fill=color, width=2)
# arrowhead (small dot at tip)
r = 3
draw.ellipse([tx-r, ty-r, tx+r, ty+r], fill=color)
# text background
bbox = draw.textbbox((lx, ly), text, font=font)
pad = 3
draw.rectangle([bbox[0]-pad, bbox[1]-pad, bbox[2]+pad, bbox[3]+pad], fill=BLACK_T)
draw.text((lx, ly), text, fill=color, font=font)
# ── STRUCTURE POSITIONS (tuned to 722x322 image) ──────────────────────────────
# The image shows a longitudinal neck USG. From analysis:
# Top ~0-15px : skin line (thin bright)
# ~15-40px : subcutaneous tissue
# ~40-65px : strap muscles (thin hypoechoic band)
# Left side (~x=120-230, y=65-130): cricoid cartilage (large hypoechoic dome)
# Right side (~x=300-600, y=70-130): tracheal rings (string of pearls)
# ~y=145-160 : Air-Mucosa interface (bright hyperechoic line)
# ~y=160+ : Posterior acoustic shadowing
# 1. Skin line - top bright line
draw_label(draw, "Skin", (60, 8), (70, 0), WHITE, font_small)
# 2. Subcutaneous tissue
draw_label(draw, "Subcutaneous tissue", (160, 22), (170, 14), CYAN, font_small)
# 3. Strap muscles
draw_label(draw, "Strap muscles\n(Sternohyoid/Sternothyroid)", (90, 52), (10, 38), GREEN, font_small)
# 4. Cricoid cartilage (left, large hypoechoic)
draw_label(draw, "Cricoid cartilage", (155, 95), (5, 120), YELLOW, font)
# 5. Tracheal ring 1
draw_label(draw, "Tracheal ring (T1)", (310, 95), (330, 72), ORANGE, font_small)
# 6. Tracheal ring 2
draw_label(draw, "T2", (420, 95), (425, 72), ORANGE, font_small)
# 7. Tracheal ring 3
draw_label(draw, "T3", (530, 95), (535, 72), ORANGE, font_small)
# 8. Air-Mucosa interface
draw_label(draw, "Air-Mucosa (A-M) interface\n(hyperechoic)", (400, 155), (430, 178), RED, font_small)
# 9. Posterior acoustic shadowing
draw_label(draw, "Posterior acoustic shadowing", (400, 240), (420, 252), (180, 180, 255, 255), font_small)
# 10. "String of pearls" sign label
draw.rectangle([295, 55, 590, 68], fill=BLACK_T)
draw.text((300, 56), '"String of pearls" sign', fill=ORANGE, font=font_small)
# Orientation labels
draw.rectangle([0, H-22, 90, H], fill=BLACK_T)
draw.text((4, H-20), "◄ Superior", fill=WHITE, font=font_small)
draw.rectangle([W-100, H-22, W, H], fill=BLACK_T)
draw.text((W-96, H-20), "Inferior ►", fill=WHITE, font=font_small)
# Composite
result = Image.alpha_composite(img, overlay).convert('RGB')
result.save('/tmp/workspace/usg-labels/labeled_usg.jpg', quality=95)
print("Saved:", result.size)
python3 /tmp/workspace/usg-labels/label.py
labeled usg
Image · JPG
| Label | Color | What it marks |
|---|---|---|
| Skin | White | Thin bright hyperechoic line at the very top |
| Subcutaneous tissue | Cyan | Mixed echogenicity band just below skin |
| Strap muscles | Green | Thin hypoechoic band (Sternohyoid/Sternothyroid) |
| Cricoid cartilage | Yellow | Large dome-shaped hypoechoic structure on the left (superior) |
| Tracheal rings T1, T2, T3 | Orange | Small rounded hypoechoic structures to the right - "string of pearls" sign |
| Air-Mucosa (A-M) interface | Red | Bright continuous hyperechoic line deep to the rings |
| Posterior acoustic shadowing | Light blue | Dark area below the A-M interface |
| Orientation | White | Superior (left) / Inferior (right) |
can you label in the same image and give me
mkdir -p /tmp/workspace/usg-labels2 && curl -s -o /tmp/workspace/usg-labels2/original.png "https://d361swluvexzqs.cloudfront.net/chats-attachments/Screenshot-2026-07-19-005008-1784403162524-3ibkuv.png" && python3 -c "from PIL import Image; img = Image.open('/tmp/workspace/usg-labels2/original.png'); print('Size:', img.size, 'Mode:', img.mode)"
~/usg-labels2/label.py
from PIL import Image, ImageDraw, ImageFont
img = Image.open('/tmp/workspace/usg-labels2/original.png').convert('RGBA')
overlay = Image.new('RGBA', img.size, (0, 0, 0, 0))
draw = ImageDraw.Draw(overlay)
W, H = img.size # 823 x 531
try:
font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 14)
font_sm = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 12)
font_tiny = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 11)
except:
font = font_sm = font_tiny = ImageFont.load_default()
# Color palette
YELLOW = (255, 230, 0, 255)
WHITE = (255, 255, 255, 255)
CYAN = (0, 220, 255, 255)
GREEN = (60, 255, 100, 255)
RED = (255, 80, 80, 255)
ORANGE = (255, 165, 40, 255)
MAGENTA = (255, 80, 220, 255)
LBLUE = (130, 180, 255, 255)
BLACK_T = (0, 0, 0, 180)
def label(text, tip, lpos, color, fnt=font_sm, line_width=2):
tx, ty = tip
lx, ly = lpos
# draw line
draw.line([tx, ty, lx, ly], fill=color, width=line_width)
# dot at tip
r = 4
draw.ellipse([tx-r, ty-r, tx+r, ty+r], fill=color)
# text background
lines = text.split('\n')
# measure all lines
max_w = max(draw.textlength(l, font=fnt) for l in lines)
line_h = fnt.size + 2
total_h = line_h * len(lines)
pad = 3
draw.rectangle([lx-pad, ly-pad, lx+max_w+pad, ly+total_h+pad], fill=BLACK_T)
for i, line in enumerate(lines):
draw.text((lx, ly + i*line_h), line, fill=color, font=fnt)
# ── STRUCTURE LAYOUT (823 x 531 image, transverse neck view) ──────────────────
# Based on analysis:
# Centre (x≈370-430, y≈100-380): Trachea/cricoid - large dark hypoechoic dome
# Left lobe thyroid (x≈130-280, y≈150-330): medium hypoechoic oval
# Right lobe thyroid (x≈530-680, y≈150-280): small-medium hypoechoic oval
# Right side circle (x≈620-680, y≈280-360): carotid artery (ring-like)
# Top band: skin + subcutaneous tissue + strap muscles
# Deep to trachea: posterior acoustic shadowing
# Isthmus: thin band connecting thyroid lobes across midline, anterior to trachea
# 1. Skin line (top)
label("Skin", (200, 12), (210, 2), WHITE, font_tiny)
# 2. Subcutaneous tissue
label("Subcutaneous tissue", (350, 28), (355, 15), CYAN, font_tiny)
# 3. Strap muscles (thin band ~y=45-80)
label("Strap muscles\n(Sternohyoid/Sternothyroid)", (200, 62), (10, 48), GREEN, font_tiny)
# 4. Left lobe of thyroid
label("Left lobe\n(Thyroid)", (190, 230), (10, 215), YELLOW, font_sm)
# 5. Right lobe of thyroid
label("Right lobe\n(Thyroid)", (600, 210), (635, 175), YELLOW, font_sm)
# 6. Isthmus (thin strip connecting lobes ~y=150, across trachea anterior surface)
label("Isthmus of thyroid", (380, 135), (385, 10), ORANGE, font_sm)
# 7. Trachea / Cricoid cartilage (large central dark dome)
label("Trachea\n(Cricoid ring)", (385, 260), (430, 290), RED, font_sm)
# 8. Air-Mucosa interface (bright arc at bottom of tracheal lumen)
label("Air-Mucosa (A-M)\ninterface", (390, 370), (420, 385), MAGENTA, font_tiny)
# 9. Posterior acoustic shadowing
label("Posterior acoustic\nshadowing", (390, 445), (400, 455), LBLUE, font_tiny)
# 10. Carotid artery (right side - concentric ring structure)
label("Common carotid\nartery (CCA)", (648, 320), (660, 340), (255, 120, 120, 255), font_tiny)
# 11. Depth markers (yellow L markers on left side of image)
label("Depth markers\n(1 cm, 2 cm)", (20, 290), (25, 295), (200, 255, 80, 255), font_tiny)
# Orientation label
draw.rectangle([0, H-22, 120, H], fill=BLACK_T)
draw.text((4, H-20), "Transverse (axial) view", fill=WHITE, font=font_tiny)
# Composite and save
result = Image.alpha_composite(img, overlay).convert('RGB')
out = '/tmp/workspace/usg-labels2/labeled_usg_neck.jpg'
result.save(out, quality=96)
print("Saved:", out, result.size)
python3 /tmp/workspace/usg-labels2/label.py
labeled usg neck
Image · JPG
| Label | Color | Structure |
|---|---|---|
| Skin | White | Thin hyperechoic line at top |
| Subcutaneous tissue | Cyan | Band below skin |
| Strap muscles | Green | Sternohyoid/Sternothyroid - thin hypoechoic band |
| Left lobe (Thyroid) | Yellow | Left-sided hypoechoic oval |
| Right lobe (Thyroid) | Yellow | Right-sided hypoechoic oval |
| Isthmus of thyroid | Orange | Thin bridge connecting lobes anterior to trachea |
| Trachea / Cricoid ring | Red | Large central dark dome (hypoechoic cartilage) |
| Air-Mucosa (A-M) interface | Magenta | Bright hyperechoic arc at base of tracheal lumen |
| Posterior acoustic shadowing | Light blue | Dark area deep to trachea |
| Common Carotid Artery (CCA) | Pink-red | Concentric ring structure on right side |
| Depth markers | Yellow-green | 1 cm / 2 cm scale on left border |
can you label common carotid as esophagus and give me the image
~/usg-labels2/label.py
Successfully replaced 1 instance(s) of the string in '/tmp/workspace/usg-labels2/label.py'
~/usg-labels2/label.py
Successfully replaced 1 instance(s) of the string in '/tmp/workspace/usg-labels2/label.py'
python3 /tmp/workspace/usg-labels2/label.py
labeled usg neck v2
Image · JPG
can you label this in the same image and give me
mkdir -p /tmp/workspace/usg-larynx && curl -s -o /tmp/workspace/usg-larynx/original.png "https://d361swluvexzqs.cloudfront.net/chats-attachments/Screenshot-2026-07-19-005102-1784403423822-ch9yj0.png" && python3 -c "from PIL import Image; img = Image.open('/tmp/workspace/usg-larynx/original.png'); print('Size:', img.size, 'Mode:', img.mode)"
~/usg-larynx/label.py
from PIL import Image, ImageDraw, ImageFont
img = Image.open('/tmp/workspace/usg-larynx/original.png').convert('RGBA')
overlay = Image.new('RGBA', img.size, (0, 0, 0, 0))
draw = ImageDraw.Draw(overlay)
W, H = img.size # 612 x 527
try:
font_bold = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 13)
font_sm = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 12)
font_tiny = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 11)
except:
font_bold = font_sm = font_tiny = ImageFont.load_default()
YELLOW = (255, 230, 0, 255)
WHITE = (255, 255, 255, 255)
CYAN = ( 0, 220, 255, 255)
GREEN = ( 60, 255, 100, 255)
RED = (255, 80, 80, 255)
ORANGE = (255, 165, 40, 255)
MAGENTA = (255, 80, 220, 255)
LBLUE = (130, 180, 255, 255)
PINK = (255, 160, 180, 255)
BLACK_T = ( 0, 0, 0, 185)
def label(text, tip, lpos, color, fnt=font_sm, lw=2):
tx, ty = tip
lx, ly = lpos
draw.line([tx, ty, lx, ly], fill=color, width=lw)
r = 4
draw.ellipse([tx-r, ty-r, tx+r, ty+r], fill=color)
lines = text.split('\n')
max_w = max(draw.textlength(l, font=fnt) for l in lines)
lh = fnt.size + 3
pad = 3
draw.rectangle([lx-pad, ly-pad, lx+max_w+pad, ly+lh*len(lines)+pad], fill=BLACK_T)
for i, line in enumerate(lines):
draw.text((lx, ly + i*lh), line, fill=color, font=fnt)
# ── Image is 612 x 527 ────────────────────────────────────────────────────
# Transverse USG of larynx at level of TRUE VOCAL CORDS
#
# Structure positions (from AI analysis, % → pixels):
# Skin/subcut: y≈5% → y≈26
# Strap muscles: y≈15% → y≈79
# Thyroid cart apex: x≈42%,y≈24% → (257,126)
# Right thyroid lamina: x≈22%,y≈42% → (135,221)
# Left thyroid lamina: x≈72%,y≈42% → (440,221)
# Right true vocal cord: x≈32%,y≈45% → (196,237)
# Left true vocal cord: x≈62%,y≈48% → (379,253)
# Right arytenoid: x≈38%,y≈42% → (232,221)
# Left arytenoid: x≈62%,y≈58% → (379,306)
# Air-mucosa/glottis: x≈45%,y≈55% → (275,290)
# Posterior shadow: x≈45%,y≈80% → (275,422)
# 1. Skin
label("Skin", (200, 10), (210, 2), WHITE, font_tiny)
# 2. Subcutaneous tissue
label("Subcutaneous tissue", (340, 22), (345, 10), CYAN, font_tiny)
# 3. Strap muscles
label("Strap muscles", (130, 58), (10, 44), GREEN, font_tiny)
# 4. Thyroid cartilage - anterior commissure / apex (inverted V shape at top centre)
label("Thyroid cartilage\n(anterior commissure)", (257, 120), (265, 88), YELLOW, font_sm)
# 5. Right thyroid cartilage lamina
label("Thyroid cartilage\n(Rt. lamina)", (130, 210), (5, 195), YELLOW, font_tiny)
# 6. Left thyroid cartilage lamina
label("Thyroid cartilage\n(Lt. lamina)", (445, 218), (455, 200), YELLOW, font_tiny)
# 7. Right true vocal cord (vocalis muscle)
label("Right true\nvocal cord", (196, 237), (10, 270), ORANGE, font_sm)
# 8. Left true vocal cord
label("Left true\nvocal cord", (382, 252), (440, 270), ORANGE, font_sm)
# 9. Right arytenoid cartilage
label("Arytenoid\n(Rt.)", (232, 218), (232, 165), PINK, font_tiny)
# 10. Left arytenoid cartilage
label("Arytenoid\n(Lt.)", (379, 300), (520, 295), PINK, font_tiny)
# 11. Air-mucosa interface / Rima glottidis
label("Air-Mucosa interface\n(Rima glottidis)", (275, 288), (285, 310), RED, font_sm)
# 12. Posterior acoustic shadowing
label("Posterior acoustic\nshadowing", (275, 420), (285, 435), LBLUE, font_tiny)
# 13. Paraglottic space (lateral dark areas flanking cords)
label("Paraglottic\nspace (Rt.)", (155, 255), (5, 320), MAGENTA, font_tiny)
label("Paraglottic\nspace (Lt.)", (455, 255), (460, 320), MAGENTA, font_tiny)
# Orientation label
draw.rectangle([0, H-22, 155, H], fill=BLACK_T)
draw.text((4, H-20), "Transverse - Vocal cord level", fill=WHITE, font=font_tiny)
result = Image.alpha_composite(img, overlay).convert('RGB')
out = '/tmp/workspace/usg-larynx/labeled_larynx_usg.jpg'
result.save(out, quality=96)
print("Saved:", out, result.size)
python3 /tmp/workspace/usg-larynx/label.py
labeled larynx usg
Image · JPG
| Label | Color | Structure |
|---|---|---|
| Skin | White | Thin line at top |
| Subcutaneous tissue | Cyan | Band below skin |
| Strap muscles | Green | Thin hypoechoic band superficial to cartilage |
| Thyroid cartilage (anterior commissure) | Yellow | Inverted V apex at top center |
| Thyroid cartilage (Rt. & Lt. laminae) | Yellow | Bilateral hypoechoic wings extending posterolaterally |
| Right / Left true vocal cord | Orange | Hypoechoic wedge-shaped vocalis muscles converging anteriorly |
| Arytenoid cartilage (Rt. & Lt.) | Pink | Small bright reflections at posterior cord attachment |
| Air-Mucosa interface (Rima glottidis) | Red | Hyperechoic triangular cleft between the cords |
| Posterior acoustic shadowing | Light blue | Dark area deep to air interface |
| Paraglottic space (Rt. & Lt.) | Magenta | Lateral hypoechoic spaces flanking the vocal cords |