Yong Chen, PhD

Real-time dose verification remains a critical unmet need in radiation therapy. We developed physics-informed AI models for radiacoustic imaging (RAI) to enable quantitative, real-time in vivo dose monitoring for proton therapy. Our approach addresses two big...

To quantify the discrepancies that occur when a proton treatment plan is delivered on daily anatomy, following the clinical standard of marker-based registration using daily CT imaging. This study aims to demonstrate the necessity for real-time adaptive repla...

Proton therapy is an increasingly adopted cancer treatment due to its high dose conformity enabled by the Bragg peak (BP), reducing radiation exposure to surrounding healthy tissue. However, this steep dose gradient makes treatment accuracy highly sensitive t...

Accurate radiotherapy delivery requires precise knowledge of soft-tissue anatomy at the time of treatment, particularly for abdominal targets affected by respiration, peristalsis, and inter-fractional anatomical changes. Current clinical systems provide limit...

While Proton Acoustic (PA) imaging has shown promise for range verification, its application in complex transcranial environments remains under-explored. This study aims to demonstrate the feasibility of in situ 3D dose mapping and localization of pulsed prot...