Radiotherapy treatment planning is a resource-intensive process characterized by multiple manual steps that can contribute to treatment delays and inter-observer variability. The Radiation Planning Assistant (RPA) is a web-based platform designed to deliver a...
Author profile
David Fuentes
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center
AI-Powered Radiotherapy for Resource-Limited Settings: Advancing Cervical and Prostate Cancer Treatment Planning with the Radiation Planning Assistant
Proffered Program · Therapy Physics
A Mechanistic Evaluation of Diffusion MRI for Glioma Cellularity
Cellular density (CD) in gliomas is of great clinical importance to guide treatment. A commonly used approach for estimating CD is based on imaging, by using Apparent Diffusion Coefficient (ADC) measurements derived from diffusion MRI. Cell membranes hinderin...
Poster Program · Diagnostic and Interventional Radiology Physics
Radiant: A Fully Configurable Radiotherapy Dose Prediction Framework
This work presents the Radiotherapy Dose Inference and Analysis Toolkit (RADIANT), an open-source, fully configurable framework for 3D radiotherapy dose prediction. Built upon the Medical Imaging Segmentation Toolkit, RADIANT supports a wide range of network...
Poster Program · Therapy Physics