Journal Article10.1016/J.MEDIA.2010.03.005
A review of 3D/2D registration methods for image-guided interventions
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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.
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About: This article is published in Medical Image Analysis. The article was published on 01 Apr 2012. The article focuses on the topics: Patient registration & Image registration.
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Citations
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Agent-Based Methods for Medical Image Registration
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- 01 Jan 2019
TL;DR: Among the latest advances in learning-based registration methods, agent-based methods have been shown to be effective in both 3-D/3-D and 2-D-2-D registrations with significant robustness advantage over conventional optimization- based methods.
Component-Wise Modeling of Articulated Objects
Valsamis Ntouskos,Marta Sanzari,Bruno Cafaro,Federico Nardi,Fabrizio Natola,Fiora Pirri,Manuel Ruiz +6 more
- 07 Dec 2015
TL;DR: A novel framework for modeling articulated objects based on the aspects of their components by employing a shape deformation paradigm, which can produce realistic 3D models of articulated objects in reasonable time.
Fast and Automatic Periacetabular Osteotomy Fragment Pose Estimation Using Intraoperatively Implanted Fiducials and Single-View Fluoroscopy.
Robert B. Grupp,Ryan J. Murphy,Rachel Hegeman,Clayton P. Alexander,Mathias Unberath,Yoshito Otake,Benjamin A. McArthur,Mehran Armand,Mehran Armand,Russell H. Taylor +9 more
TL;DR: The proposed computer assisted approach that uses a single fluoroscopic view and quickly reports the pose of an acetabular fragment without any user input or initialization demonstrates accuracy similar to other state of the art systems which require optical tracking systems or multiple-view 2D/3D registrations with manual input.
Generation of 3D shape, density, cortical thickness and finite element mesh of proximal femur from a DXA image.
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References
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Paul J. Besl,H.D. McKay +1 more
TL;DR: In this paper, the authors describe a general-purpose representation-independent method for the accurate and computationally efficient registration of 3D shapes including free-form curves and surfaces, based on the iterative closest point (ICP) algorithm, which requires only a procedure to find the closest point on a geometric entity to a given point.
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Multimodality image registration by maximization of mutual information
TL;DR: The results demonstrate that subvoxel accuracy with respect to the stereotactic reference solution can be achieved completely automatically and without any prior segmentation, feature extraction, or other preprocessing steps which makes this method very well suited for clinical applications.
Light field rendering
Marc Levoy,Pat Hanrahan +1 more
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TL;DR: This paper describes a sampled representation for light fields that allows for both efficient creation and display of inward and outward looking views, and describes a compression system that is able to compress the light fields generated by more than a factor of 100:1 with very little loss of fidelity.
Closed-form solution of absolute orientation using unit quaternions
TL;DR: A closed-form solution to the least-squares problem for three or more paints is presented, simplified by use of unit quaternions to represent rotation.
Least-Squares Fitting of Two 3-D Point Sets
TL;DR: An algorithm for finding the least-squares solution of R and T, which is based on the singular value decomposition (SVD) of a 3 × 3 matrix, is presented.