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Biomedical image registration

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Cover of 'Biomedical image registration'

Table of Contents

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    Book Overview
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    Chapter 1 Medical Image Registration Based on BSP and Quad-Tree Partitioning
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    Chapter 2 A Bayesian Cost Function Applied to Model-Based Registration of Sub-cortical Brain Structures
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    Chapter 3 Automatic Inter-subject Registration of Whole Body Images
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    Chapter 4 Local Intensity Mapping for Hierarchical Non-rigid Registration of Multi-modal Images Using the Cross-Correlation Coefficient
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    Chapter 5 Multi-modal Image Registration Using Dirichlet-Encoded Prior Information
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    Chapter 6 Removal of Interpolation Induced Artifacts in Similarity Surfaces
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    Chapter 7 Symmetric Diffeomorphic Image Registration: Evaluating Automated Labeling of Elderly and Neurodegenerative Cortex and Frontal Lobe
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    Chapter 8 Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains
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    Chapter 9 Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration
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    Chapter 10 A Novel 3D/2D Correspondence Building Method for Anatomy-Based Registration
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    Chapter 11 2D-to-3D X-Ray Breast Image Registration
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    Chapter 12 Variational Image Registration with Local Properties
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    Chapter 13 Geometrical Regularization of Displacement Fields with Application to Biological Image Registration
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    Chapter 14 Myocardial Deformation Recovery Using a 3D Biventricular Incompressible Model
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    Chapter 15 A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration
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    Chapter 16 Introduction to the Non-rigid Image Registration Evaluation Project (NIREP)
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    Chapter 17 A Unified Framework for Atlas Based Brain Image Segmentation and Registration
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    Chapter 18 Deformable Physiological Atlas-Based Programming of Deep Brain Stimulators: A Feasibility Study
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    Chapter 19 A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration
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    Chapter 20 Evaluation of Similarity Measures for Non-rigid Registration
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    Chapter 21 Computing the Geodesic Interpolating Spline
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    Chapter 22 Combining Registration and Abnormality Detection in Mammography
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    Chapter 23 Point Similarity Measures Based on MRF Modeling of Difference Images for Spline-Based 2D-3D Rigid Registration of X-Ray Fluoroscopy to CT Images
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    Chapter 24 Clinical Application of a Semiautomatic 3D Fusion Tool Where Automatic Fusion Techniques Are Difficult to Use
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    Chapter 25 Comparison Between Parzen Window Interpolation and Generalised Partial Volume Estimation for Nonrigid Image Registration Using Mutual Information
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    Chapter 26 Elastic Registration Algorithm of Medical Images Based on Fuzzy Set
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    Chapter 27 PET/CT Rigid-Body Registration in Radiation Treatment Planning Settings: Phantom Validation and Strategy Investigation
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    Chapter 28 3D Mouse Brain Reconstruction from Histology Using a Coarse-to-Fine Approach
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    Chapter 29 A Generalization of Free-Form Deformation Image Registration Within the ITK Finite Element Framework
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    Chapter 30 A Novel Projection Based Approach for Medical Image Registration
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    Chapter 31 Combining Homogenization and Registration
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    Chapter 32 High-Dimensional Normalized Mutual Information for Image Registration Using Random Lines
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    Chapter 33 2D/3D Registration of Neonatal Brain Images
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    Chapter 34 Robust Optimization Using Disturbance for Image Registration
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    Chapter 35 MR-CT Image Registration in Liver Cancer Treatment with an Open Configuration MR Scanner
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    Chapter 36 Nonrigid Registration of Multitemporal CT and MR Images for Radiotherapy Treatment Planning
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    Chapter 37 3D Statistical Shape Modeling of Long Bones
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    Chapter 38 Point-Based Registration with Known Correspondence: Closed Form Optimal Solutions and Properties
Attention for Chapter 14: Myocardial Deformation Recovery Using a 3D Biventricular Incompressible Model
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Chapter title
Myocardial Deformation Recovery Using a 3D Biventricular Incompressible Model
Chapter number 14
Book title
Biomedical Image Registration
Published by
Springer, Berlin, Heidelberg, July 2006
DOI 10.1007/11784012_14
Book ISBNs
978-3-54-035648-6, 978-3-54-035649-3
Authors

Arnaud Bistoquet, W. James Parks, Oskar Škrinjar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Lecturer 1 20%
Other 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Nursing and Health Professions 1 20%
Medicine and Dentistry 1 20%
Unknown 1 20%