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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 Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation
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    Chapter 2 Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features
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    Chapter 3 A Semi-automated Toolkit for Analysis of Liver Cancer Treatment Response Using Perfusion CT
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    Chapter 4 Parameter Comparison Between Fast-Water-Exchange-Limit-Constrained Standard and Water-Exchange-Modified Dual-Input Tracer Kinetic Models for DCE-MRI in Advanced Hepatocellular Carcinoma
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    Chapter 5 Kinetic Textural Biomarker for Predicting Survival of Patients with Advanced Hepatocellular Carcinoma After Antiangiogenic Therapy by Use of Baseline First-Pass Perfusion CT
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    Chapter 6 Feasibility of Single-Input Tracer Kinetic Modeling with Continuous-Time Formalism in Liver 4-Phase Dynamic Contrast-Enhanced CT.
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    Chapter 7 Metastatic Liver Tumor Segmentation Using Texture-Based Omni-Directional Deformable Surface Models
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    Chapter 8 Automated Navigator Tracker Placement for MRI Liver Scans
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    Chapter 9 Pancreatic Blood Flow Measurements in the Pig Pancreatitis Model Using Perfusion CT with Deconvolution Method
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    Chapter 10 A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans
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    Chapter 11 Spatially-Constrained Probability Distribution Model of Incoherent Motion (SPIM) in Diffusion Weighted MRI Signals of Crohn’s Disease
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    Chapter 12 Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging
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    Chapter 13 Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn’s Disease Segmentation
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    Chapter 14 Automatic Assessment of Image Informativeness in Colonoscopy
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    Chapter 15 Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography.
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    Chapter 16 Application of Pseudo-enhancement Correction to Virtual Monochromatic CT Colonography.
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    Chapter 17 A Novel Minimal Surface Overlay Model for the Whole Colon Wall Segmentation
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    Chapter 18 A Unified Framework for Automated Colon Segmentation
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    Chapter 19 A Novel Visualization Technique for Virtual Colonoscopy Using One-Sided Transparency
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    Chapter 20 Total Variation Regularization of Displacements in Parametric Image Registration
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    Chapter 21 A Bilinear Model for Temporally Coherent Respiratory Motion
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    Chapter 22 A New Tube Detection Filter for Abdominal Aortic Aneurysms
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    Chapter 23 Total Variation Based 3D Reconstruction from Monocular Laparoscopic Sequences
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    Chapter 24 MRI-Based Thickness Analysis of Bladder Cancer: A Pilot Study
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    Chapter 25 Three-Dimensional Respiratory Deformation Processing for CT Vessel Images Using Angiographic Images
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    Chapter 26 Reconstruction Method by Using Sparse and Low-Rank Structures for Fast 4D-MRI Acquisition
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    Chapter 27 Combined Homogeneous Region Localization and Automated Evaluation of Radiation Dose Dependent Contrast-to-Noise Ratio in Dual Energy Abdominal CT
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    Chapter 28 Modeling and Analysis of Bioimpedance Measurements
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Title
Abdominal Imaging. Computational and Clinical Applications
Published by
Springer International Publishing, April 2015
DOI 10.1007/978-3-319-13692-9
ISBNs
978-3-31-913691-2, 978-3-31-913692-9
Editors

Yoshida, Hiroyuki, Näppi, Janne J., Saini, Sanjay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 100%
Student > Master 1 33%
Readers by discipline Count As %
Mathematics 1 33%
Computer Science 1 33%
Medicine and Dentistry 1 33%
Engineering 1 33%