Author profile
St. Jude Children's Research Hospital
Pediatric craniospinal irradiation (CSI) autosegmentation is challenging due to small, age-variable anatomy. Performance of a pediatric-trained in-house pipeline was compared with atlas-based and commercial AI methods for pediatric CSI organs at risk (OARs) u...
Accurate vascular visualization is essential for target delineation in pediatric radiotherapy, particularly for abdominal tumors such as Wilms tumor and neuroblastoma, where major vessels serve as key anatomical landmarks. Although contrast-enhanced CT (CECT)...
Current proton beam-angle optimization methods are constrained by limited angular candidate sets and the high computational cost of Monte Carlo (MC)-based dose evaluation, hindering practical implementation of full-sphere (4π) optimization. We propose a 4π be...
Automated segmentation is increasingly integrated into radiotherapy planning workflows; however, ensuring reliable quality assurance (QA) remains challenging, particularly in pediatric patients due to substantial anatomical variability. In this study, we leve...