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Author profile
Jiacheng Xie
Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, The University of Texas at Dallas
Unigeodose: A Universal Real-Time Dose Verification Model for All Beam Energies and Treatment Units Via Beam Characteristics Embedded Geometry Encoding
Timely dose verification is essential for quality assurance (QA) in modern radiotherapy (RT), particularly in online adaptive RT, where measurement-based QA is often impractical. Current approaches are limited by machine/energy-specific designs, hindering sca...
Poster Program · Therapy Physics
A Dynamic Reconstruction and Motion Estimation Framework for Gaussian Representation-Based Time-Resolved Volumetric MR Imaging (DREME-GSMR)
Time-resolved volumetric MRI reconstructed from minimal k-space samples is critical for motion-adaptive radiotherapy to capture real-time deformable motion. We propose a Gaussian representation-based one-shot learning framework that models patient anatomy and...
Proffered Program · Therapy Physics
BEST IN PHYSICS (THERAPY): Intelligent In-Treatment Planning Framework for Real-Time Adaptive Radiotherapy (ART)
Existing adaptive radiotherapy (ART) only accounts for inter-fraction variations in anatomy. Adapted plans can become suboptimal immediately due to anatomical changes during online planning and treatment delivery, degrading treatment quality and efficacy. To...
Proffered Program · Therapy Physics
Deep-Learning (DL)–Based Real-Time Inverse Planning for MR-Guided Radiotherapy (MRgART)
Treatment planning for MR-guided adaptive radiotherapy (MRgART) requires extensive time and effort in both preplanning and online adaptation processes. It is a major bottleneck hindering the efficiency and quality of MRgART. Specifically, extended preplanning...
Proffered Program · Therapy Physics
Real-Time Deformable Liver Motion Tracking By a Single Arbitrarily-Angled X-Ray Projection Via a Latent Diffusion Model (Latent-Liver)
Real-time liver motion tracking is essential in image-guided radiotherapy to enable precise tumor targeting. We developed a conditional latent point cloud diffusion model (Latent-Liver) for real-time deformable liver motion tracking and tumor localization usi...
Proffered Program · Therapy Physics