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Abdominal Imaging. Computational and Clinical Applications

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Cover of 'Abdominal Imaging. Computational and Clinical Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method
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    Chapter 2 External Clinical Validation of Prone and Supine CT Colonography Registration
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    Chapter 3 Efficient Topological Cleaning for Visual Colon Surface Flattening
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    Chapter 4 Adaptive Volumetric Detection of Lesions for Minimal-Preparation Dual-Energy CT Colonography
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    Chapter 5 Computer-Aided Detection for Ultra-Low-Dose CT Colonography
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    Chapter 6 Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in CT Colonography
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    Chapter 7 Application of CT Simulation Technique for Virtual Fecal Tagging in CTC
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    Chapter 8 Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography
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    Chapter 9 Comparative Performance of State-of-the-Art Classifiers in Computer-Aided Detection for CT Colonography
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    Chapter 10 Piecewise Structural Diffusion Defined on Shape Index for Noise Reduction in Dual-Energy CT Images
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    Chapter 11 A Supervised Learning Based Approach to Detect Crohn’s Disease in Abdominal MR Volumes
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    Chapter 12 Out-of-Plane Motion Compensation in Cine-MRI
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    Chapter 13 Real-Time Phase Boundary Detection for Colonoscopy Videos Using Motion Vector Templates
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    Chapter 14 Relaxed Conditional Statistical Shape Models and Their Application to Non-contrast Liver Segmentation
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    Chapter 15 A Landmark-Based Primal-Dual Approach for Discontinuity Preserving Registration
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    Chapter 16 Predicting Liver Motion Using Exemplar Models
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    Chapter 17 Semi-automatic Discrimination of Normal Tissue and Liver Cancer Lesions in Contrast Enhanced X-Ray CT-Scans
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    Chapter 18 Evaluation of Diffusion Filters for 3D CTA Liver Vessel Enhancement
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    Chapter 19 3D Shape Analysis for Liver-Gallbladder Anatomical Structure Retrieval
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    Chapter 20 Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation
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    Chapter 21 Fast Segmentation of Abdominal Wall: Application to Sliding Effect Removal for Non-rigid Registration
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    Chapter 22 A Fully Automated Framework for Renal Cortex Segmentation
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    Chapter 23 An Implicit Inter-subject Shape Driven Image Deformation Model for Prostate Motion Estimation
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    Chapter 24 Segmentation of the Cartilage in the Rib Cage in 3D MRI
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    Chapter 25 Method for Detecting Enlarged Lymph Nodes from 3D Abdominal CT Images with a Multi-shape and Multi-scale Ellipsoidal Structure Detection Filter
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    Chapter 26 Delineation of Liver Tumors from CT Scans Using Spectral Clustering with Out-of-Sample Extension and Multi-windowing
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    Chapter 27 Evaluation of Medical Image Registration by Using 3D SIFT and Phase-Only Correlation
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    Chapter 28 Optimal Medial Surface Generation for Anatomical Volume Representations
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    Chapter 29 Registration of Free-Breathing Abdominal 3D Contrast-Enhanced CT
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    Chapter 30 Non-newtonian Blood Flow Analysis for the Portal Vein Based on a CT Image
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    Chapter 31 Tracer Kinetic Modeling by Morales-Smith Hypothesis in Hepatic Perfusion CT
Attention for Chapter 12: Out-of-Plane Motion Compensation in Cine-MRI
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Chapter title
Out-of-Plane Motion Compensation in Cine-MRI
Chapter number 12
Book title
Abdominal Imaging. Computational and Clinical Applications
Published by
Springer, Berlin, Heidelberg, October 2012
DOI 10.1007/978-3-642-33612-6_12
Book ISBNs
978-3-64-233611-9, 978-3-64-233612-6
Authors

Mehmet Yigitsoy, Sonja Kirchhoff, Maximilian F. Reiser, Nassir Navab, Yigitsoy, Mehmet, Kirchhoff, Sonja, Reiser, Maximilian F., Navab, Nassir

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Postgraduate 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Physics and Astronomy 1 25%
Medicine and Dentistry 1 25%