عنوان
پدید آورنده
موضوع
رده
TA1638.4
TA1638
.
4
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
3658070153
(Number (ISBN
9783658070151
Erroneous ISBN
9783658070144
NATIONAL BIBLIOGRAPHY NUMBER
Number
dltt
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Deformable meshes for medical image segmentation :
General Material Designation
[Book]
Other Title Information
accurate automatic segmentation of anatomical structures /
First Statement of Responsibility
Dagmar Kainmueller
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xviii, 180 pages) :
Other Physical Details
illustrations (some color).
SERIES
Series Title
Aktuelle Forschung Medizintechnik
GENERAL NOTES
Text of Note
"Dissertation University of Lübeck, 2013."
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references
CONTENTS NOTE
Text of Note
Preface by the Series Editor; Foreword; Acknowledgments; Abstract; Contents; Chapter 1 Introduction; 1.1 Motivation; 1.1.1 Segmentation of Medical Image Data; 1.1.2 Automation of the Segmentation Task; 1.1.3 Segmentation Accuracy; 1.2 Scope of this Thesis; 1.2.1 Automated Segmentation with Deformable Models; 1.2.2 Selection of Anatomical Structures and Imaging Modalities; 1.2.3 Contribution; 1.2.4 Topics Not Discussed; 1.3 Structure of this Thesis; Part I The Segmentation Framework; Chapter 2 Basic Terms and Notation; 2.1 Images, Segmentations, and Surface Meshes
Text of Note
2.1.1 Three-dimensional Medical Images2.1.2 Segmentations of Three-dimensional Medical Images; 2.1.3 Triangle Surface Meshes; 2.1.4 From Segmentations to Surface Meshes and Back; 2.2 Deformable Surface Meshes; 2.2.1 Displacement Fields and Sets of Candidate Displacements; 2.2.2 Appearance Cost; Chapter 3 Deformable Meshes for Automatic Segmentation; 3.1 Statistical Shape Models (SSMs) for Segmentation; 3.1.1 Generation of SSMs; 3.1.2 Prerequisites: Shape Correspondences and Alignment; 3.1.3 Image Segmentation via SSM Deformation; 3.1.4 Initial Shape Detection
Text of Note
3.1.5 Lack of Image Features: SSMs for Extrapolation3.2 A Simple Heuristic Appearance Model; 3.2.1 Appearance Cost Function; 3.2.2 Intensity Parameter Estimation; 3.3 Local Search for Appearance Match; 3.3.1 Unidirectional Displacements; 3.3.2 Optimal Displacement Fields; 3.3.3 Intensity Profiles; 3.4 Shape-constrained Free Mesh Deformations; 3.4.1 Free Deformation within a Narrow Band; 3.4.2 Free Deformation with Bounded Displacement Differences; 3.5 Simultaneous Free Deformations of Multiple Meshes; 3.5.1 Multi-object Graph-based Deformation of Coupled Meshes
Text of Note
3.5.2 Coupling Adjacent Surface Meshes3.6 Conclusion; Chapter 4 Omnidirectional Displacements for Deformable Surfaces (ODDS); 4.1 The Visibility Problem; 4.2 ODDS: Free Mesh Deformations with All-around Visibility; 4.2.1 Omnidirectional Displacements; 4.2.2 The Mesh Deformation Problem; 4.2.3 Optimal Mesh Deformation via MRF Energy Minimization; 4.2.4 Refined Regularization; 4.2.5 Proof of Concept Synthetic Experiments; 4.3 FastODDS; 4.3.1 Where to use Omnidirectional Displacements; 4.3.2 The Hybrid Mesh Deformation Problem; 4.3.3 Optimal Hybrid Mesh Deformation; 4.3.4 Multi-object FastODDS
Text of Note
4.3.5 Appendix: Automatic Ridge Detection4.4 Conclusion; Chapter 5 From Surface Mesh Deformations to Volume Deformations; 5.1 Mesh-based Extrapolation; 5.1.1 Introduction; 5.1.2 Affine Transformations; 5.1.3 Polyaffine Transformations; 5.1.4 Mean Value Coordinates; 5.2 Atlas-based Segmentation; 5.2.1 Image-to-image Registration; 5.2.2 Application of Volume Deformations to Atlases; 5.3 Conclusion; Part IIApplications to Medical Image Data; Chapter 6 Fundamentals of Quantitative Evaluation; 6.1 Measures of Segmentation Accuracy; 6.2 Presentation of Results; 6.3 Comparison of Methods
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SUMMARY OR ABSTRACT
Text of Note
? Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatom
OTHER EDITION IN ANOTHER MEDIUM
Title
Deformable Meshes for Medical Image Segmentation : Accurate Automatic Segmentation of Anatomical Structures.
International Standard Book Number
9783658070144
TOPICAL NAME USED AS SUBJECT
Computer vision.
Diagnostic imaging-- Digital techniques.
Image segmentation.
Biomedical Engineering.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Science.
(SUBJECT CATEGORY (Provisional
COM-- 000000
COM016000
UYQV
DEWEY DECIMAL CLASSIFICATION
Number
006
.
6
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TA1638
.
4
PERSONAL NAME - PRIMARY RESPONSIBILITY
Kainmueller, Dagmar
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
Ohio Library and Information Network.
ORIGINATING SOURCE
Date of Transaction
20160917035132.5
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
