ArticleAdvances in radiation oncology
Vasculature-Driven Biomechanical Deformable Image Registration of Longitudinal Liver Cholangiocarcinoma Computed Tomographic Scans.
Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 19 citations in OpenAlex.
- Measurable imaging-based changes in enhancement of intrahepatic cholangiocarcinoma after radiotherapy reflect physical mechanisms of response.NPJ systems biology and applications · 2025Article
- Evaluation of deformable image registration accuracy for liver re-irradiation patients using contrast and non-contrast computed tomography images.Medical physics · 2025Article
- A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms.Medical physics · 2025Article
- Evaluation of the geometric and dosimetric accuracies of deformable image registration of targets and critical organs in prostate CBCT-guided adaptive radiotherapy.Journal of applied clinical medical physics · 2024Article
- Analysis and prediction of liver volume change maps derived from computational tomography scans acquired pre- and post-radiation therapy.Physics in medicine and biology · 2023Article
- Registration-based biomarkers for neoadjuvant treatment response of pancreatic cancer via longitudinal image registration.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Optimization of mesh generation for geometric accuracy, robustness, and efficiency of biomechanical-model-based deformable image registration.Medical physics · 2023Article
- Segmentation-guided multi-modal registration of liver images for dose estimation in SIRT.EJNMMI physics · 2022Article
- Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures.Frontiers in oncology · 2022Article
- Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).Medical physics · 2021Article
- A novel use of biomechanical model-based deformable image registration (DIR) for assessing colorectal liver metastases ablation outcomes.Medical physics · 2021Article
- Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy.Medical physics · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
purposeDeformable image registration (DIR) of longitudinal liver cancer computed tomographic (CT) images can be challenging owing to anatomic changes caused by radiation therapy (RT) or disease progression. We propose a workflow for the DIR of longitudinal contrast-enhanced CT scans of liver cancer based on a biomechanical model of the liver driven by boundary conditions on the liver surface and centerline of an autosegmentation of the vasculature. METHODS AND MATERIALS: Pre- and post-RT CT scans acquired with a median gap of 112 (32-217) days for 28 patients who underwent RT for intrahepatic cholangiocarcinoma were retrospectively analyzed. For each patient, 5 corresponding anatomic landmarks in pre- and post-RT scans were identified in the liver by a clinical expert for evaluation of the accuracy of different DIR strategies. The first strategy corresponded to the use of a biomechanical model-based DIR method with boundary conditions specified on the liver surface (BM_DIR). The second strategy corresponded to the use of an expansion of BM_DIR consisting of the auto-segmentation of the liver vasculature to determine additional boundary conditions in the biomechanical model (BM_DIR_VBC). The 2 strategies were also compared with an intensity-based DIR strategy using a Demons algorithms.
resultsThe group mean target registration errors were 12.4 ± 7.5, 7.7 ± 3.7 and 4.4 ± 2.5 mm, for the Demons, BM_DIR and BM_DIR_VBC, respectively.
conclusionsIn regard to the large and complex deformation observed in this study and the achieved accuracy of 4.4 mm, the proposed BM_DIR_VBC method might reveal itself as a valuable tool in future studies on the relationship between delivered dose and treatment outcome.
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Registered trials
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.