ArticleInternational journal of computer assisted radiology and surgery2018
Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching.
Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 56 citations in OpenAlex.
- A 3-D Cross-Modal Keypoint Descriptor for MR-US Matching and Registration.IEEE transactions on medical imaging · 2026Article
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- A Review on Registration Techniques for Cardiac Computed Tomography and Ultrasound Images.Bioengineering (Basel, Switzerland) · 2025Review
- Representative scale-invariant characteristics of male and female brains in magnetic resonance images.Neuroimage. Reports · 2025Article
- Anatomy-aware and acquisition-agnostic joint registration with SynthMorph.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Enabling Navigation and Augmented Reality in the Sitting Position in Posterior Fossa Surgery Using Intraoperative Ultrasound.Cancers · 2024Article
- Learning Expected Appearances for Intraoperative Registration during Neurosurgery.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection.International journal of computer assisted radiology and surgery · 2023Article
- Non-rigid registration based on hierarchical deformation of coronary arteries in CCTA images.Biomedical engineering letters · 2023Article
- Application of intraoperative ultrasound in the resection of high-grade gliomas.Frontiers in neurology · 2023Review
- The Current State of Visualization Techniques in Endoscopic Skull Base Surgery.Brain sciences · 2022Review
- Pose Estimation and Non-Rigid Registration for Augmented Reality During Neurosurgery.IEEE transactions on bio-medical engineering · 2022Article
- Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index and 3D Keypoint Sets.IEEE transactions on medical imaging · 2022Article
- Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware.International journal of computer assisted radiology and surgery · 2021Article
- Challenges and Opportunities of Intraoperative 3D Ultrasound With Neuronavigation in Relation to Intraoperative MRI.Frontiers in oncology · 2021Article
- Intraoperative Imaging for High-Grade Glioma Surgery.Neurosurgery clinics of North America · 2021Review
- Enhanced registration of ultrasound volumes by segmentation of resection cavity in neurosurgical procedures.International journal of computer assisted radiology and surgery · 2020Article
- Accounting for Deformation in Deep Brain Stimulation Surgery With Models: Comparison to Interventional Magnetic Resonance Imaging.IEEE transactions on bio-medical engineering · 2020Article
- Automatic segmentation of brain tumor resections in intraoperative ultrasound images using U-Net.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- Accounting for intraoperative brain shift ascribable to cavity collapse during intracranial tumor resection.Journal of medical imaging (Bellingham, Wash.) · 2020Article
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Authors and funding
14 authors at 5 institutions in 4 countries.
Funding
Abstract
purposeThe brain undergoes significant structural change over the course of neurosurgery, including highly nonlinear deformation and resection. It can be informative to recover the spatial mapping between structures identified in preoperative surgical planning and the intraoperative state of the brain. We present a novel feature-based method for achieving robust, fully automatic deformable registration of intraoperative neurosurgical ultrasound images.
methodsA sparse set of local image feature correspondences is first estimated between ultrasound image pairs, after which rigid, affine and thin-plate spline models are used to estimate dense mappings throughout the image. Correspondences are derived from 3D features, distinctive generic image patterns that are automatically extracted from 3D ultrasound images and characterized in terms of their geometry (i.e., location, scale, and orientation) and a descriptor of local image appearance. Feature correspondences between ultrasound images are achieved based on a nearest-neighbor descriptor matching and probabilistic voting model similar to the Hough transform.
resultsExperiments demonstrate our method on intraoperative ultrasound images acquired before and after opening of the dura mater, during resection and after resection in nine clinical cases. A total of 1620 automatically extracted 3D feature correspondences were manually validated by eleven experts and used to guide the registration. Then, using manually labeled corresponding landmarks in the pre- and post-resection ultrasound images, we show that our feature-based registration reduces the mean target registration error from an initial value of 3.3 to 1.5 mm.
conclusionsThis result demonstrates that the 3D features promise to offer a robust and accurate solution for 3D ultrasound registration and to correct for brain shift in image-guided neurosurgery.
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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.