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Author profile
Elanchezhian Somasundaram, PhD
Cincinnati Children's Hospital Medical Ctr
Analysis of Whole-Body CT Segmentation Models for Pediatric Organ Dosimetry In Clinical Workflows
This study analyzes reliability of whole-body CT segmentations from a deep-learning model deployed at a large pediatric center across protocol types and ICRP organ categories, evaluating age-stratified performance for clinical dosimetry workflows.
Poster Program · Diagnostic and Interventional Radiology Physics
Evaluating the Correlation Between Pediatric Exposure Rates and Common Body Size Surrogates in Fluoroscopy
To assess correlations between pediatric radiation exposure rates and commonly used body size surrogates, anteroposterior (AP) or lateral (LAT) thickness, weight, height, body mass index (BMI), body surface area (BSA), and age—for general fluoroscopy (GF) and...
Poster Program · Diagnostic and Interventional Radiology Physics
Dose‑Dependent Image Quality Behavior of Two Clinical Deep‑Learning CT Reconstruction Methods
To characterize how decreasing radiation dose affects noise magnitude, noise texture, and task‑based spatial resolution in deep learning(DL) CT reconstruction algorithms.
Proffered Program · Diagnostic and Interventional Radiology Physics
You Can’t Deploy What You Can’t Monitor: Lessons from Pediatric Imaging AI
Diagnostic and Interventional Radiology Physics
Invited Program · Diagnostic and Interventional Radiology Physics