ArticlePhysics in medicine and biology2014
Deformable image registration with local rigidity constraints for cone-beam CT-guided spine surgery.
Article in Physics in medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 23 citations in OpenAlex.
- Local rigidity constraints for deformable image registration in CBCT-guided radiotherapy.Medical physics · 2025Article
- A viscous fluid model for large-scale motion estimation in image-guided radiotherapy.Medical physics · 2025Article
- Image fusion-based low-dose CBCT enhancement method for visualizing miniscrew insertion in the infrazygomatic crest.BMC medical imaging · 2024Article
- MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network.International journal of computer assisted radiology and surgery · 2024Article
- A level-wise spine registration framework to account for large pose changes.International journal of computer assisted radiology and surgery · 2021Article
- Performance evaluation of MIND demons deformable registration of MR and CT images in spinal interventions.Physics in medicine and biology · 2016Article
- MIND Demons: Symmetric Diffeomorphic Deformable Registration of MR and CT for Image-Guided Spine Surgery.IEEE transactions on medical imaging · 2016Article
- Deformable image registration for adaptive radiotherapy with guaranteed local rigidity constraints.Radiation oncology (London, England) · 2016Article
- MIND Demons for MR-to-CT Deformable Image Registration In Image-Guided Spine Surgery.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- Intraoperative CT as a registration benchmark for intervertebral motion compensation in image-guided open spinal surgery.International journal of computer assisted radiology and surgery · 2015Article
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6 authors at 1 institution in 1 country.
Funding
Abstract
Image-guided spine surgery (IGSS) is associated with reduced co-morbidity and improved surgical outcome. However, precise localization of target anatomy and adjacent nerves and vessels relative to planning information (e.g., device trajectories) can be challenged by anatomical deformation. Rigid registration alone fails to account for deformation associated with changes in spine curvature, and conventional deformable registration fails to account for rigidity of the vertebrae, causing unrealistic distortions in the registered image that can confound high-precision surgery. We developed and evaluated a deformable registration method capable of preserving rigidity of bones while resolving the deformation of surrounding soft tissue. The method aligns preoperative CT to intraoperative cone-beam CT (CBCT) using free-form deformation (FFD) with constraints on rigid body motion imposed according to a simple intensity threshold of bone intensities. The constraints enforced three properties of a rigid transformation-namely, constraints on affinity (AC), orthogonality (OC), and properness (PC). The method also incorporated an injectivity constraint (IC) to preserve topology. Physical experiments involving phantoms, an ovine spine, and a human cadaver as well as digital simulations were performed to evaluate the sensitivity to registration parameters, preservation of rigid body morphology, and overall registration accuracy of constrained FFD in comparison to conventional unconstrained FFD (uFFD) and Demons registration. FFD with orthogonality and injectivity constraints (denoted FFD+OC+IC) demonstrated improved performance compared to uFFD and Demons. Affinity and properness constraints offered little or no additional improvement. The FFD+OC+IC method preserved rigid body morphology at near-ideal values of zero dilatation (D = 0.05, compared to 0.39 and 0.56 for uFFD and Demons, respectively) and shear (S = 0.08, compared to 0.36 and 0.44 for uFFD and Demons, respectively). Target registration error (TRE) was similarly improved for FFD+OC+IC (0.7 mm), compared to 1.4 and 1.8 mm for uFFD and Demons. Results were validated in human cadaver studies using CT and CBCT images, with FFD+OC+IC providing excellent preservation of rigid morphology and equivalent or improved TRE. The approach therefore overcomes distortions intrinsic to uFFD and could better facilitate high-precision IGSS.
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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.