Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy
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ABSTRACT: Background and purpose
Devices that combine an MR-scanner with a Linac for radiotherapy, referred to as MR-Linac systems, introduce the possibility to acquire high resolution images prior and during treatment. Hence, there is a possibility to acquire individualised learning sets for motion models for each fraction and the construction of intrafractional motion models. We investigated the feasibility for a principal component analysis (PCA) based, intrafractional motion model of the male pelvic region. Materials and methods
4D-scans of nine healthy male volunteers were utilized, FOV covering the entire pelvic region including prostate, bladder and rectum with manual segmentation of each organ at each time frame. Deformable image registration with an optical flow algorithm was performed for each subject with the first time frame as reference. PCA was performed on a subset of the resulting displacement vector fields to construct individualised motion models evaluated on the remaining fields. Results
The registration algorithm produced accurate registration result, in general DICE overlap Conclusions
An individualised intrafractional male pelvic motion model is feasible. Geometric accuracy was about 1 mm based on 1–2 principal components.
SUBMITTER: Fransson S
PROVIDER: S-EPMC8502906 | biostudies-literature |
REPOSITORIES: biostudies-literature
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