A medical diagnostic flowchart titled 'Non-Invasive Imaging Evaluation in Case of Known or Suspected Cardiomyopathies,' specifically focused on the pediatric population. The algorithm outlines a sequential clinical pathway starting with Echocardiography as the first-line modality for screening, diagnosis, and follow-up. The pathway branches into three secondary modalities based on clinical needs: (1) Cardiac Magnetic Resonance (CMR) is indicated if echocardiography is inconclusive or if tissue characterization is required. (2) Computed Tomography (CT) is selected if Transthoracic Echocardiography (TTE) is inconclusive and CMR is contraindicated, or for specific coronary anatomy assessment. (3) Nuclear imaging is utilized when complementary information regarding myocardial perfusion, viability, or cardiac metabolism is needed. Each modality is paired with a representative clinical image: a 4-chamber echocardiogram view, a short-axis CMR slice, and a cardiac CT scan. A supporting anatomical illustration of a child and a cross-sectional heart diagram (showing hypertrophy/dilation) emphasizes the pediatric cardiology context. The diagram serves as an educational guide for optimizing imaging selection in cardiomyopathies like HCM, DCM, and LVNC.

Educational infographic panel demonstrating four non-invasive modalities for atherosclerosis assessment and cardiovascular risk stratification. 1. Coronary Artery Calcification (CAC): A cross-sectional Computed Tomography (CT) scan of the heart showing hyperdense (bright) calcium deposits along the coronary arteries. 2. Ankle-Brachial Index (ABI): A schematic diagram of a human figure indicating systolic blood pressure measurement points at the brachial and ankle arteries, including the calculation formula (Ankle SP / Brachial SP) used to screen for peripheral artery disease. 3. Cardio-Ankle Vascular Index (CAVI): An anatomical diagram of the aorta and central arterial tree, labeled as an arterial stiffness marker derived from the stiffness parameter beta. 4. Carotid Intima-Media Thickness (IMT): A grayscale longitudinal ultrasound image of the carotid artery, with calipers/arrows highlighting the measurement of the vessel wall layers. This compilation serves as a clinical guide for evaluating subclinical atherosclerosis and predicting heart failure risk through diverse imaging and physiological markers.

This educational image demonstrates the methodology for measuring Cross-Sectional Muscle Area (CSMA) using Computed Tomography (CT). Panel (a) is a schematic diagram showing a human silhouette with landmarks for mid-thigh CT imaging, located at the midpoint between the inguinal crease and the proximal pole of the patella. Panel (b) is a diagnostic axial CT scan of the mid-thigh. The image highlights tissue differentiation based on Hounsfield units (HU). The central femur is depicted as a high-density (bright) circular structure. The skeletal muscles are manually segmented with yellow outlines to isolate the CSMA, effectively excluding subcutaneous fat, intermuscular fat (low-density/dark areas), and cortical bone. This visualization is used in clinical research to assess sarcopenia, frailty, and nutritional status by quantifying muscle mass and identifying intramuscular adipose tissue infiltration. The segmentation illustrates the anatomical boundaries between the quadriceps, adductors, and hamstring muscle groups.

This infographic illustrates the complete workflow for Stereotactic Arrhythmia Radioablation (STAR), a non-invasive treatment for cardiac arrhythmias like ventricular tachycardia. The process is depicted in six stages: (a) target definition through the fusion of electro-anatomical mapping with cardiac imaging; (b) acquisition of a planning computed tomography (CT) scan for anatomical reference; (c) radiotherapy dosimetry planning, showing a cross-sectional thoracic CT with isodose lines ranging from 5 Gy to 25 Gy surrounding the red-highlighted cardiac target volume; (d) patient positioning and immobilization using a vacuum-assisted mold to ensure reproducible setup; (e) image-guided alignment using a comparison between the planning CT and cone-beam CT (CBCT) to verify target accuracy; and (f) radiotherapy delivery options, displaying a conventional linear accelerator (Linac) and a robotic CyberKnife system. The diagram emphasizes the multidisciplinary integration of electrophysiology and radiation oncology for precise, high-dose focal radiation delivery to arrhythmic cardiac substrates.

This infographic combines clinical diagnostic imaging with a machine learning architectural diagram, illustrating a Faster R-CNN-based cloud filter system for medical data processing. On the left, a multi-pane interface displays various cross-sectional radiological images. The primary highlighted pane (red border) shows an axial computed tomography (CT) scan of the human thorax at the level of the heart, clearly demonstrating the cardiac chambers, lungs, and spine. Adjacent panes show sagittal and axial views of abdominal structures, along with a 3D volume-rendered image of the thoracic cage and abdominal vasculature. To the right, a computational pipeline outlines the feature extraction process. Input images are fed through 'DeepConvNet' and 'Projection' stages into a central 3D data cube. This feeds into a 'Feature Vector' block containing a 'Proofing Layer' and a 'Regressor', ultimately leading to the 'Output'. This diagram explains the integration of deep learning architectures in automating the verification and reading of EMR and PACS data to reduce clinical diagnostic errors.

This diagnostic image is a Computed Tomography (CT) scan reconstruction of a human tooth specimen embedded in a mounting block, used for endodontic research. The visual demonstrates an anatomical diagram overlay illustrating the methodology for root canal scanning and analysis. Nine distinct axial section levels are identified, labeled sequentially from 'Level 1' at the apical third to 'Level 9' at the coronal orifice. Each level is highlighted by an orange elliptical marker that represents the cross-sectional plane of the root canal at that specific depth. The diagram shows the natural tapering morphology of the root canal, with the diameter of the orange markers progressively increasing from the narrow apex (Level 1) toward the wider coronal aspect (Level 9). This imaging protocol is clinically relevant for evaluating dental instrumentation techniques, measuring canal transportation, and assessing remaining dentinal thickness during endodontic therapy. The specimen is shown in a sagittal/coronal view, providing a clear vertical reference for the internal anatomy of the root system.