ArticlePhysics and imaging in radiation oncology2021
Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy.
Article in Physics and imaging in radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Impact of daily volumetric imaging on target tracking without fiducial markers during robotic treatment of pancreas.Physics in medicine and biology · 2026Article
- cMeta-INR: cohort-informed meta-learning-based implicit neural representation for deformable registration-driven real-time volumetric MRI estimation.Physics in medicine and biology · 2025Article
- Risk of genitourinary late effects after radiotherapy for prostate cancer associated with early changes in bladder shape.Physics and imaging in radiation oncology · 2025Article
- Gaussian primitives for deformable image registration.Physics and imaging in radiation oncology · 2025Article
- Quantification and dosimetric impact of intra-fractional bladder changes during CBCT-guided online adaptive radiotherapy for pelvic cancer treatments.Journal of applied clinical medical physics · 2025Article
- Artificial intelligence-based motion tracking in cancer radiotherapy: A review.Journal of applied clinical medical physics · 2024Review
- Predicting cervical cancer target motion using a multivariate regression model to enable patient selection for adaptive external beam radiotherapy.Physics and imaging in radiation oncology · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeDevices 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
methods4D-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.
resultsThe registration algorithm produced accurate registration result, in general DICE overlap
conclusionsAn individualised intrafractional male pelvic motion model is feasible. Geometric accuracy was about 1 mm based on 1-2 principal components.
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