ArticleJournal of applied clinical medical physics2019
Usefulness of hybrid deformable image registration algorithms in prostate radiation therapy.
Article in Journal of applied clinical medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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26 citing papers in PubMed, 43 citations in OpenAlex.
- Topology-preserved transformer-based CBCT-CT registration via normalized gradient field guidance for nasopharyngeal carcinoma.iScience · 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
- Evaluation of hybrid DIR performance using controlling structures and points of interest in MR-guided adaptive radiotherapy for prostate cancer patients.Journal of applied clinical medical physics · 2026Article
- Automatic segmentation of cone beam CT images using treatment planning CT images in patients with prostate cancer.Radiological physics and technology · 2025Article
- Impact of tumor position displacement during end-exhalation breath-hold condition on tumor dose in lung stereotactic body radiation therapy using volumetric modulated arc therapy.Clinical and translational radiation oncology · 2025Article
- Dose-volume relationships of planned versus estimated delivered radiation doses to pelvic organs at risk and side effects in patients treated with salvage radiotherapy for recurrent prostate cancer.Technical innovations & patient support in radiation oncology · 2024Article
- Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer.Physics and imaging in radiation oncology · 2024Article
- Review and recommendations on deformable image registration uncertainties for radiotherapy applications.Physics in medicine and biology · 2023Review
- Inter-fraction deformable image registration using unsupervised deep learning for CBCT-guided abdominal radiotherapy.Physics in medicine and biology · 2023Article
- The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed.Journal of applied clinical medical physics · 2022Article
- The Usefulness of Adaptative Radiotherapy in Prostate Cancer: How, When, and Who?Biomedicines · 2022Article
- Comparison of an in-house hybrid DIR method to NiftyReg on CBCT and CT images for head and neck cancer.Journal of applied clinical medical physics · 2022Article
- Prior information guided auto-contouring of breast gland for deformable image registration in postoperative breast cancer radiotherapy.Quantitative imaging in medicine and surgery · 2021Article
- Assessment of CT to CBCT contour mapping for radiomic feature analysis in prostate cancer.Scientific reports · 2021Article
- A Prospective Study Assessing the Post-Prostatectomy Detection Rate of a Presumed Local Failure at mpMR with EitherCancers · 2021Article
- Development of a physical geometric phantom for deformable image registration credentialing of radiotherapy centers for a clinical trial.Journal of applied clinical medical physics · 2021Article
- Improving deformable image registration with point metric and masking technique for postoperative breast cancer radiotherapy.Quantitative imaging in medicine and surgery · 2021Article
- Dosimetric Impact of Inter-Fraction Anatomical Changes in Carbon Ion Boost Treatment for High-Risk Prostate Cancer (AIRC IG 14300).Frontiers in oncology · 2021Article
- Dosimetric Impact of the Positional Imaging Frequency for Hypofractionated Prostate Radiotherapy - A Voxel-by-Voxel Analysis.Frontiers in oncology · 2020Article
- Accounting for respiratory motion in small serial structures during radiotherapy planning: proof of concept in virtual bronchoscopy-guided lung functional avoidance radiotherapy.Physics in medicine and biology · 2019Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
To evaluate the accuracy of commercially available hybrid deformable image registration (DIR) algorithms when using planning CT (pCT) and daily cone-beam computed tomography (CBCT) in radiation therapy for prostate cancer. The hybrid DIR algorithms in RayStation and MIM Maestro were evaluated. Contours of the prostate, bladder, rectum, and seminal vesicles (SVs) were used as region-of-interest (ROIs) to guide image deformation in the hybrid DIR and to compare the DIR accuracy. To evaluate robustness of the hybrid DIR for prostate cancer patients with organs with volume that vary on a daily basis, such as the bladder and rectum, the DIR algorithms were performed on ten pairs of CT volumes from ten patients who underwent prostate intensity-modulated radiation therapy or volumetric modulated arc therapy. In a visual evaluation, MIM caused unrealistic image deformation in soft tissues, organs, and pelvic bones. The mean dice similarity coefficient (DSC) ranged from 0.46 to 0.90 for the prostate, bladder, rectum, and SVs; the SVs had the lowest DSC. Target registration error (TRE) at the centroid of the ROIs was about 2 mm for the prostate and bladder, and about 6 mm for the rectum and SVs. RayStation did not cause unrealistic image deformation, and could maintain the shape of pelvic bones in most cases. The mean DSC and TRE at the centroid of the ROIs were about 0.9 and within 5 mm generally. In both software programs, the use of ROIs to guide image deformation had the possibility to reduce any unrealistic image deformation and might be effective to keep the DIR physically reasonable. The pCT/CBCT DIR for the prostate cancer did not reduce the DIR accuracy because of the use of ROIs to guide the image deformation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.