Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and point distribution model
Guoyan Zheng,Miguel Ángel González Ballester,Martin Styner,Lutz-Peter Nolte +3 more
- Vol. 9, pp 25-32
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TLDR
A 2D/3D reconstruction scheme combining statistical extrapolation and regularized shape deformation with an iterative image-to-model correspondence establishing algorithm is presented, and its application to reconstruct the surface of proximal femur is shown.Abstract:
Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and a point distribution model is discussed. We present a 2D/3D reconstruction scheme combining statistical extrapolation and regularized shape deformation with an iterative image-to-model correspondence establishing algorithm, and show its application to reconstruct the surface of proximal femur. The image-to-model correspondence is established using a non-rigid 2D point matching process, which iteratively uses a symmetric injective nearest-neighbor mapping operator and 2D thin-plate splines based deformation to find a fraction of best matched 2D point pairs between features detected from the fluoroscopic images and those extracted from the 3D model. The obtained 2D point pairs are then used to set up a set of 3D point pairs such that we turn a 2D/3D reconstruction problem to a 3D/3D one. We designed and conducted experiments on 11 cadaveric femurs to validate the present reconstruction scheme. An average mean reconstruction error of 1.2 mm was found when two fluoroscopic images were used for each bone. It decreased to 1.0 mm when three fluoroscopic images were used.read more
Citations
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Journal ArticleDOI
A review of 3D/2D registration methods for image-guided interventions
TL;DR: The 3D/2D registration methods are reviewed with respect to image modality, image dimensionality, registration basis, geometric transformation, user interaction, optimization procedure, subject, and object of registration.
Survey of Medical Image Registration
V.R.S Mani,Dr.S. rivazhagan +1 more
TL;DR: A comprehensive picture of image registration methods and their applications is painted and is an introduction for those new to the profession, an overview for those working in the field, and a reference for those searching for literature on a specific application.
Journal ArticleDOI
A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images.
Guoyan Zheng,Sebastian Gollmer,Steffen Schumann,Xiao Dong,Thomas Feilkas,Miguel Ángel González Ballester +5 more
TL;DR: This paper presents a 2D/3D correspondence building method based on a non-rigid 2D point matching process, which iteratively uses a symmetric injective nearest-neighbor mapping operator and 2D thin-plate splines based deformations to find a fraction of best matched2D point pairs between features extracted from the X-ray images and those extracts from the 3D model.
Journal ArticleDOI
Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging.
Dean C. Barratt,Carolyn S. K. Chan,Carolyn S. K. Chan,Philip J. Edwards,Philip J. Edwards,Graeme P. Penney,Graeme P. Penney,M. Slomczykowski,Timothy J. Carter,Timothy J. Carter,David J. Hawkes,David J. Hawkes +11 more
TL;DR: Despite limitations on the regions of bone accessible using US imaging, this technique has potential as a cost-effective and non-invasive method to enable surgical navigation during CAOS procedures, without the additional radiation dose associated with performing a preoperative CT scan or intraoperative fluoroscopic imaging.
Journal ArticleDOI
Statistical shape and appearance models of bones
TL;DR: This paper reviews the main concepts, methods, and applications of SSM and SAM as applied to bone and describes the main modes of variations of shape and density distribution from their mean values.
References
More filters
Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI
Principal warps: thin-plate splines and the decomposition of deformations
TL;DR: The decomposition of deformations by principal warps is demonstrated and the method is extended to deal with curving edges between landmarks to aid the extraction of features for analysis, comparison, and diagnosis of biological and medical images.
Book
Computer Vision - Eccv 2002
TL;DR: A novel algorithm for recovering a smooth manifold of unknown dimension and topology from a set of points known to belong to it is presented and it can easily be applied when the ambient space is not Euclidean, which is important in many applications.
Journal ArticleDOI
Parametrization of closed surfaces for 3-D shape description
TL;DR: In this paper, the authors present procedures for the explicit parametric representation and global description of surfaces of simply connected 3-D objects by defining a continuous, one-to-one mapping from the original object to the surface of a unit sphere.
Proceedings ArticleDOI
Illustrating smooth surfaces
Aaron Hertzmann,Denis Zorin +1 more
TL;DR: An efficient, deterministic algorithm for finding silhouettes based on geometric duality, and an algorithm for segmenting the silhouette curves into smooth parts with constant visibility can be used to find all silhouettes in real time in software.