ArticlePhysics in medicine and biology2013
Nonrigid point registration for 2D curves and 3D surfaces and its various applications.
Article in Physics in medicine and biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching.Computers in biology and medicine · 2016Article
- Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.Academic radiology · 2016Review
- Sexual Dimorphism of the Human Tibia through Time: Insights into Shape Variation Using a Surface-Based Approach.PloS one · 2016Article
- Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts.Proceedings of SPIE--the International Society for Optical Engineering · 2015Article
- Quantitative Wavelength Analysis and Image Classification for Intraoperative Cancer Diagnosis with Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2015Article
- A Minimum Spanning Forest Based Hyperspectral Image Classification Method for Cancerous Tissue Detection.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- Hyperspectral Imaging for Cancer Surgical Margin Delineation: Registration of Hyperspectral and Histological Images.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- Mapping Cardiac Fiber Orientations from High-Resolution DTI to High-Frequency 3D Ultrasound.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- 3DProceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A nonrigid B-spline-based point-matching (BPM) method is proposed to match dense surface points. The method solves both the point correspondence and nonrigid transformation without features extraction. The registration method integrates a motion model, which combines a global transformation and a B-spline-based local deformation, into a robust point-matching framework. The point correspondence and deformable transformation are estimated simultaneously by fuzzy correspondence and by a deterministic annealing technique. Prior information about global translation, rotation and scaling is incorporated into the optimization. A local B-spline motion model decreases the degrees of freedom for optimization and thus enables the registration of a larger number of feature points. The performance of the BPM method has been demonstrated and validated using synthesized 2D and 3D data, mouse MRI and micro-CT images. The proposed BPM method can be used to register feature point sets, 2D curves, 3D surfaces and various image data.
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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.