ArticleJournal of medical imaging and radiation oncology2021
An MRI framework for respiratory motion modelling validation.
Article in Journal of medical imaging and radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A systematic review of 4D magnetic resonance imaging techniques for abdominal radiotherapy treatment planning.Physics and imaging in radiation oncology · 2024Review
- Hadrontherapy for Thymic Epithelial Tumors: Implementation in Clinical Practice.Frontiers in oncology · 2021Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRespiratory motion models establish a correspondence between respiratory-correlated (RC) 4-dimensional (4D) imaging and respiratory surrogates, to estimate time-resolved (TR) 3D breathing motion. To evaluate the performance of motion models on real patient data, a validation framework based on magnetic resonance imaging (MRI) is proposed, entailing the use of RC 4DMRI to build the model, and on both (i) TR 2D cine-MRI and (ii) additional 4DMRI data for testing intra-/inter-fraction breathing motion variability.
methodsRepeated MRI data were acquired in 7 patients with abdominal lesions. The considered model relied on deformable image registration (DIR) for building the model and compensating for inter-fraction baseline variations. Both 2D and 3D validation were performed, by comparing model estimations with the ground truth 2D cine-MRI and 4DMRI respiratory phases, respectively.
resultsThe median DIR error was comparable to the voxel size (1.33 × 1.33 × 5 mm
conclusionsResults suggest the potential of the proposed framework in evaluating global motion models for organ motion management in MRI-guided radiotherapy.
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