Radiographic imaging and tomography (RadIT), which started with Röntgen's seminal X-ray
work in 1895, now includes an increasing number of IT modalities. In addition to the original …

In the past 100 years, external beam energy for the treatment of cancer has continually
evolved. Two main modes have been developed. The first is radiotherapy which involves …

In this study, we evaluate the performance of the Segment Anything Model (SAM) in clinical
radiotherapy. Our results indicate that SAM's' segment anything'mode can achieve clinically …

Background Accurate and efficient dose calculation is essential for on‐line adaptive
planning in proton therapy. Deep learning (DL) has shown promising dose prediction results …

Abstract Background Deformable Image Registration (DIR) is an essential technique
required in many applications of radiation oncology. However, conventional DIR …

Introduction Intensity-modulated proton therapy (IMPT) has the potential to reduce radiation
dose to normal organs when compared to intensity-modulated radiation therapy (IMRT). We …

Abstract 4D multi-image-based (4D MIB) optimization is a form of robust optimization where
different uncertainty scenarios, due to anatomy variations, are considered via multiple image …

Purpose To retrospectively investigate empirical relative biological effectiveness (RBE) for
mandible osteoradionecrosis (ORN) in head and neck (H&N) cancer patients treated with …

Purpose Intensity‐modulated proton therapy (IMPT) is sensitive to uncertainties from patient
setup and proton beam range, as well as interplay effect. In addition, respiratory motion may …

Purpose To develop an online graphic processing unit (GPU)‐accelerated Monte Carlo‐
based adaptive radiation therapy (ART) workflow for pencil beam scanning (PBS) proton …