Accurate tissue characterization is critical for adaptive proton therapy. This study evaluates the performance of relative electron density (RED) and stopping power ratios (SPR) predicted by virtual monoenergetic images (VMIs) derived from dual-energy CBCT (D...
Author profile
Chang-Shiun Lin
Department of Radiation Oncology, UT Southwestern Medical Center
Accuracy of Relative Electron Density and Stopping Power Ratio Estimation Using Dual-Energy Cone-Beam CT Virtual Monoenergetic Images
Poster Program · Therapy Physics
The Feasibility of Direct-to-Treatment Ultra-Hypofractionated Whole-Breast Irradiation Using AI-Enabled Adaptive Radiation Therapy
Direct-to-treatment radiotherapy eliminates CT simulation and pre-planning, reduces consultation-to-treatment intervals from weeks to hours. This study evaluated the feasibility of an ultra-hypofractionated whole-breast workflow that omits simulation and adva...
Poster Program · Therapy Physics
Clinical Implementation of Direct-to-Unit Ultra-Hypofractionated Whole-Breast Irradiation Using AI-Enabled Adaptive Radiation Therapy
Direct-to-unit (DTU) radiotherapy, which bypasses CT simulation and prospective planning, offers an opportunity to markedly shorten the interval from consultation to treatment and expand access to timely breast cancer care. Building on prior feasibility work,...
Proffered Program · Therapy Physics