ArticleJournal of applied clinical medical physics2013
Evaluation of whole-body MR to CT deformable image registration.
Article in Journal of applied clinical medical physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 50 citations in OpenAlex.
- Evaluation of loco-regional recurrences using deformable image registration after isotoxic high dose stereotactic body radiotherapy in localised pancreatic cancer.Clinical and translational radiation oncology · 2026Article
- Voxel-wise body composition analysis using image registration of a three-slice CT imaging protocol: methodology and proof-of-concept studies.Biomedical engineering online · 2024Article
- An automated methodology for whole-body, multimodality tracking of individual cancer lesions.Physics in medicine and biology · 2024Article
- Applying Multi-Metric Deformable Image Registration for Dose Accumulation in Combined Cervical Cancer Radiotherapy.Journal of personalized medicine · 2023Article
- Pelvic PET/MR attenuation correction in the image space using deep learning.Frontiers in oncology · 2023Article
- An image registration method for voxel-wise analysis of whole-body oncological PET-CT.Scientific reports · 2022Article
- MRI-guided attenuation correction in torso PET/MRI: Assessment of segmentation-, atlas-, and deep learning-based approaches in the presence of outliers.Magnetic resonance in medicine · 2022Article
- Ischemic stroke lesion detection, characterization and classification in CT images with optimal features selection.Biomedical engineering letters · 2020Article
- Higher-order singular value decomposition-based lung parcellation for breathing motion management.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Advances in Computational Human Phantoms and Their Applications in Biomedical Engineering - A Topical Review.IEEE transactions on radiation and plasma medical sciences · 2019Article
- The evaluation of a hybrid biomechanical deformable registration method on a multistage physical phantom with reproducible deformation.Radiation oncology (London, England) · 2018Article
- Cryo-Imaging and Software Platform for Analysis of Molecular MR Imaging of Micrometastases.International journal of biomedical imaging · 2018Article
- A review of substitute CT generation for MRI-only radiation therapy.Radiation oncology (London, England) · 2017Review
- Biomechanical model for computing deformations for whole-body image registration: A meshless approach.International journal for numerical methods in biomedical engineering · 2016Article
- Transmission imaging for integrated PET-MR systems.Physics in medicine and biology · 2016Article
- Clinical assessment of MR-guided 3-class and 4-class attenuation correction in PET/MR.Molecular imaging and biology · 2015Article
- Hypoxic tumor environments exhibit disrupted collagen I fibers and low macromolecular transport.PloS one · 2013Article
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimodality image registration plays a crucial role in various clinical and research applications. The aim of this study is to present an optimized MR to CT whole-body deformable image registration algorithm and its validation using clinical studies. A 3D intermodality registration technique based on B-spline transformation was performed using optimized parameters of the elastix package based on the Insight Toolkit (ITK) framework. Twenty-eight (17 male and 11 female) clinical studies were used in this work. The registration was evaluated using anatomical landmarks and segmented organs. In addition to 16 anatomical landmarks, three key organs (brain, lungs, and kidneys) and the entire body volume were segmented for evaluation. Several parameters--such as the Euclidean distance between anatomical landmarks, target overlap, Dice and Jaccard coefficients, false positives and false negatives, volume similarity, distance error, and Hausdorff distance--were calculated to quantify the quality of the registration algorithm. Dice coefficients for the majority of patients (> 75%) were in the 0.8-1 range for the whole body, brain, and lungs, which satisfies the criteria to achieve excellent alignment. On the other hand, for kidneys, Dice coefficients for volumes of 25% of the patients meet excellent volume agreement requirement, while the majority of patients satisfy good agreement criteria (> 0.6). For all patients, the distance error was in 0-10 mm range for all segmented organs. In summary, we optimized and evaluated the accuracy of an MR to CT deformable registration algorithm. The registered images constitute a useful 3D whole-body MR-CT atlas suitable for the development and evaluation of novel MR-guided attenuation correction procedures on hybrid PET-MR systems.
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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.