ReviewPhysics and imaging in radiation oncology2024
Tools and recommendations for commissioning and quality assurance of deformable image registration in radiotherapy.
Review in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Clinical evaluation and regression test of a commercial deep-learning auto-segmentation model.Journal of applied clinical medical physics · 2026Article
- Inverse-consistent deformable image registration to propagate biomechanical constraints for online adaptive radiotherapy.Medical physics · 2026Article
- A framework for planning organ at risk volume margin derivation for the small bowel during magnetic resonance-guided radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Deformable image registration accuracy: impact of user-defined parameter selection on contour propagation for deep inspiration breath-hold and free breathing breast radiotherapy.BMC medical imaging · 2026Article
- Treatment planning for lung cancer reirradiation accounting for previously delivered dose.Physics and imaging in radiation oncology · 2026Article
- Landmark-guided deformable image registration for accurate cumulative dose evaluation in lung reirradiation.Physics and imaging in radiation oncology · 2026Article
- Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion.Physics in medicine and biology · 2026Article
- Comparison of subject-to-template registration schemes using CT and MR radiotherapy images with brain lesions.Frontiers in neuroscience · 2026Article
- Isotoxic stereotactic reirradiation for recurrent pelvic cancers.Physics and imaging in radiation oncology · 2026Article
- Standardising image registration and dose mapping for thoracic reirradiation: A national multi-centre benchmarking study.Physics and imaging in radiation oncology · 2026Article
- Maintaining quality of scientific peer-review and publishing inPhysics and imaging in radiation oncology · 2026Article
- Inverse consistency error for validating deformable image registration: an explorative study on computational phantoms.Physics and imaging in radiation oncology · 2026Article
- Local rigidity constraints for deformable image registration in CBCT-guided radiotherapy.Medical physics · 2025Article
- Deformable Image Registration Uncertainty-Encompassing Dose Accumulation for Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2025Article
- Real-Time Dose-Guided Radiation Therapy.International journal of radiation oncology, biology, physics · 2025Review
- Evaluation of deformable image registration accuracy for liver re-irradiation patients using contrast and non-contrast computed tomography images.Medical physics · 2025Article
- The bone rigidity error as a simple, quantitative, and interpretable metric for patient-specific validation of deformable image registration.Physics and imaging in radiation oncology · 2025Article
- New guidelines and recommendations to advance treatment planning in proton therapy.Physics and imaging in radiation oncology · 2025Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple tools are available for commissioning and quality assurance of deformable image registration (DIR), each with their own advantages and disadvantages in the context of radiotherapy. The selection of appropriate tools should depend on the DIR application with its corresponding available input, desired output, and time requirement. Discussions were hosted by the ESTRO Physics Workshop 2021 on Commissioning and Quality Assurance for DIR in Radiotherapy. A consensus was reached on what requirements are needed for commissioning and quality assurance for different applications, and what combination of tools is associated with this. For commissioning, we recommend the target registration error of manually annotated anatomical landmarks or the distance-to-agreement of manually delineated contours to evaluate alignment. These should be supplemented by the distance to discordance and/or biomechanical criteria to evaluate consistency and plausibility. Digital phantoms can be useful to evaluate DIR for dose accumulation but are currently only available for a limited range of anatomies, image modalities and types of deformations. For quality assurance of DIR for contour propagation, we recommend at least a visual inspection of the registered image and contour. For quality assurance of DIR for warping quantitative information such as dose, Hounsfield units or positron emission tomography-data, we recommend visual inspection of the registered image together with image similarity to evaluate alignment, supplemented by an inspection of the Jacobian determinant or bending energy to evaluate plausibility, and by the dose (gradient) to evaluate relevance. We acknowledge that some of these metrics are still missing in currently available commercial solutions.
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