Byong Yong Yi, PhD

Cone-beam CT (CBCT) is routinely used for image-guided radiation therapy (IGRT); however, in the optimal frequency of CBCT varies across patients and treatment sites, affecting imaging dose, workflow efficiency, and clinical consistency. This study aims to de...

Proton dose calculation is sensitive to the metal wires, which are placed on the patient's skin during CT simulation to precisely outline the location of surgical scars and the intended radiation treatment field borders. In order to avoid the dose uncertainti...

Cyberattacks pose a growing threat to the continuity of radiation therapy services. Establishing contingency plans (CPs) is critical for rapid recovery post-cyberattack and for maintaining operational resilience. However, the extent of awareness, perceived im...

Lattice radiotherapy (LRT) produces steep vertex–valley gradients, making 2D gamma-based QA insufficient for clinically relevant 3D dose–volume endpoints. We propose an MRI polymer gel–based 3D DVH verification workflow for VMAT-LRT and assess feasibility and...

Proton pencil beam scanning (PBS) offers excellent dose conformity but remains limited by delivery inefficiency associated with energy layer switching time. A programmable energy modulation filter (PEMF) was developed to enable single-energy proton PBS delive...

Breast patients treated with intensity-modulated proton therapy (IMPT) often experience more severe skin dose toxicity compared to those with photon 3DCRT. Here we quantitatively estimated the LET-dependent RBE (LET-RBE) vs clinically used constant RBE=1.1 fo...

With the number of proton centers increasing, each facing intermittent downtime or need for renovations. Developing optimal approaches to maintain uninterrupted treatment is essential to preserve clinical outcomes. This study outlines key risk factors, workfl...

Daily cone-beam CT (CBCT) is widely used in adaptive proton therapy; however, scatter artifacts can degrade image quality and introduce proton dose calculation inaccuracies. We developed a region-of-interest (ROI)–guided Swin-Transformer deep learning (DL) ne...

This study proposes a vertex-wise Isodose Structure (IS)-based framework to evaluate the 3D geometric accuracy of Lattice Radiotherapy (LRT) dose distributions by decoupling geometric misalignment from dose-dependent volumetric distortion, enabling vertex-spe...