A Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy

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Abstract

The use of Magnetic Resonance (MR) imaging for proton therapy treatment planning is gaining attention as a highly effective method for guidance. At the core of this approach is the generation of Computed Tomography (CT) images from MR scans. However, the critical issue in this process is accurately aligning the MR and CT images, a task that becomes particularly challenging in frequently moving body areas, such as the head-and-neck. Misalignments in these images can result in blurred synthetic CT (sCT) images, adversely affecting the precision and effectiveness of the treatment planning.

Publication
Arxiv
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Xia Li
Xia Li
Doctoral Students
Damien Weber
Damien Weber
Prof. Dr. med.
Tony Lomax
Tony Lomax
Professor
Ye Zhang
Ye Zhang
Research Scientist