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
CT-ultrasound registration for electromagnetic navigation of cardiac intervention
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TL;DR: In this article, the authors verify the feasibility of a new setup error estimation method that registers 3D planning CT image and 3D image that is reconstructed based on EPID images.
1
Atlas-Based 3D Intensity Volume Reconstruction of Musculoskeletal Structures in the Lower Extremity from 2D Calibrated X-Ray Images
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TL;DR: An atlas-based 2D-3D intensity volume reconstruction approach is presented by combining a2D-2D non-rigid registration based 3D landmark reconstruction procedure with an adaptive regularization step to prevent penetration of the reconstructed femoral and tibial volumes.
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Application of Huber-similarity measure on PD detection
TL;DR: Huber Similarity Measure for Partial Discharge (HSMPD) is proposed in this article, which is based on a combination of Huber Function, Discrete Cosine Transform (DCT), 1 and 2 norms.
References
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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
- 01 Aug 1996
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.