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Suri J.S., Wilson D.L., Laxminarayan S. (eds.) Handbook of Biomedical Image Analysis Volume III: Registration Models

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Suri J.S., Wilson D.L., Laxminarayan S. (eds.) Handbook of Biomedical Image Analysis Volume III: Registration Models
Издательство Kluwer Academic / Plenum Publishers, 2005, -583 pp.
Our goal is to develop automated methods for the segmentation of three-dimensional biomedical images. Here, we describe the segmentation of c- focal microscopy images of bee brains (20 individuals) by registration to one or several atlas images. Registration is performed by a highly parallel imp- mentation of an entropy-based nonrigid registration algorithm using B-spline transformations. We present and evaluate different methods to solve the correspondence problem in atlas based registration. An image can be segmented by registering it to an individual atlas, an average atlas, or multiple atlases. When registering to multiple atlases, combining the individual segmentations into a final segmentation can be achieved by atlas selection, or multiclassifier decision fusion. We describe all these methods and evaluate the segmentation accuracies that they achieve by performing experiments with electronic phantoms as well as by comparing their outputs to a manual gold standard. The present work is focused on the mathematical and computational theory behind a technique for deformable image registration termed Hyperelastic Warping, and demonstration of the technique via applications in image registration and strain measurement. The approach combines well-established principles of nonlinear continuum mechanics with forces derived directly from three-dimensional image data to achieve registration. The general approach does not require the definition of landmarks, fiducials, or surfaces, although it can accommodate these if available. Representative problems demonstrate the robust and flexible nature of the approach. Three-dimensional registration methods are introduced for registering MRI volumes of the pelvis and prostate. The chapter first reviews the applications, challenges, and previous methods of image registration in the prostate.
Medical Image Registration: Theory, Algorithm, and Case Studies in Surgical Simulation, Chest Cancer, and Multiple Sclerosis
State of the Art of Level Set Methods in Segmentation and Registration of Medical Imaging Modalities
Three-Dimensional Rigid and Non-Rigid Image Registration for the Pelvis and Prostate
Stereo and Temporal Retinal Image Registration by Mutual Information Maximization
Quantification of Brain Aneurysm Dimensions from CTA for Surgical Planning of Coiling Interventions
Inverse Consistent Image Registration
A Computer-Aided Design System for Segmentation of Volumetric Images
Inter-subject Non-rigid Registration: An Overview with Classification and the Romeo Algorithm
Elastic Registration for Biomedical Applications
Cross-Entropy, Reversed Cross-Entropy, and Symmetric Divergence Similarity Measures for 3D Image Registration: A Comparative Study
Quo Vadis, Atlas-Based Segmentation?
Deformable Image Registration with Hyperelastic Warping
Future of Image Registration
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