6 papers
Portable surrogate-free 4D MRI from standard fast multi-slice 2D MRI via implicit neural representations
Muheng Li, Xinyang Wu, Xia Li +5
Four-dimensional MRI (4D MRI) characterizes respiratory organ motion, yet existing reconstruction pipelines are tightly coupled to specific acquisition platforms (e.g., non-Cartesi…
CPT-4DMR: Continuous sPatial-Temporal Representation for 4D-MRI Reconstruction
Xinyang Wu, Muheng Li, Xia Li +5
Four-dimensional MRI (4D-MRI) is an promising technique for capturing respiratory-induced motion in radiation therapy planning and delivery. Conventional 4D reconstruction methods,…
Diffusion Schrödinger Bridge Models for High-Quality MR-to-CT Synthesis for Head and Neck Proton Treatment Planning
Muheng Li, Xia Li, Sairos Safai +3
In recent advancements in proton therapy, MR-based treatment planning is gaining momentum to minimize additional radiation exposure compared to traditional CT-based methods. This t…
Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report
Evi M. C. Huijben, Maarten L. Terpstra, Arthur Jr. Galapon +56
Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomogra…
Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction
Xia Li, Fabian Zhang, Muheng Li +4
Intra-fraction motion in radiotherapy is commonly modeled using deformable image registration (DIR). However, existing methods often struggle to balance speed and accuracy, limitin…
A Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy
Xia Li, Renato Bellotti, Barbara Bachtiary +5
Background: In MR-guided proton therapy planning, aligning MR and CT images is key for MR-based CT synthesis, especially in mobile regions like the head-and-neck. Misalignments her…