Deep learning-based image reconstruction has shown substantial promise for addressing the highly non-uniform and under-sampled projections encountered in nonstop gated CBCT (ngCBCT). However, due to the statistical nature of data-driven learning and inherent...
Author profile
Chengzhu Zhang, PhD
Memorial Sloan Kettering Cancer Center
Uncertainty Quantification of a Deep Learning Reconstruction Framework for Nonstop Gated CBCT Using an Auxiliary Network
Proffered Program · Therapy Physics
Clinical Commissioning of Surface-Guided Manual Gating for Deep Inspiration Breath Hold (Dibh) Breast Radiotherapy on Ethos and Halcyon Systems
This work commissioned a manual beam gating procedure for breast DIBH treatment on Ethos and Halcyon (O-ring) platforms, which included dosimetric consistency evaluation with an End-to-End (E2E) test and quantifying the response time of manual beam-hold using...
Poster Program · Therapy Physics
GRID-Lattice: A Compact and Robust Proton Lattice Strategy Using a GRID Entrance Beam Pattern
Proton LATTICE radiotherapy (LRT), a spatially fractionated radiotherapy (SFRT), delivers high dose to intratumoral vertices while maintaining low valley dose. Single-field optimization (SFO) is robust in preserving peak-to-valley patterns but may increase en...
Poster Program · Therapy Physics