3 citations · 6 across the 8 of their papers we have counts for
5 papers · 1 filter
Gaussian Primitives for Deformable Image Registration
Jihe Li, Xiang Liu, Fabian Zhang +4
Deformable Image Registration (DIR) is essential for aligning medical images that exhibit anatomical variations, facilitating applications such as disease tracking and radiotherapy…
CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolation
Xia Li, Runzhao Yang, Xiangtai Li +3
Motion information from 4D medical imaging offers critical insights into dynamic changes in patient anatomy for clinical assessments and radiotherapy planning and, thereby, enhance…
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…
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…