Computational anatomy based on whole body imaging : basic principles of computer-assisted diagnosis and therapy /: basic principles of computer-assisted diagnosis and therapy. ([2017])
- Record Type:
- Book
- Title:
- Computational anatomy based on whole body imaging : basic principles of computer-assisted diagnosis and therapy /: basic principles of computer-assisted diagnosis and therapy. ([2017])
- Main Title:
- Computational anatomy based on whole body imaging : basic principles of computer-assisted diagnosis and therapy
- Further Information:
- Note: Hidefumi Kobatake, Yoshitaka Masutani, editors.
- Editors:
- Kobatake, Hidefumi
Masutani, Yoshitaka - Contents:
- Preface; Acknowledgments; Contents; 1 Introduction; 1.1 What Is Computational Anatomy?; 1.2 Needs, Seeds, and Solutions Around Medical Imaging: History and Perspectives; 1.2.1 Needs in Medical Education and Clinical Practice; 1.2.1.1 From the Viewpoint of Medical Education; 1.2.1.2 From the Viewpoint of Diagnostic Radiology; 1.2.1.3 From the Viewpoint of Therapeutic Radiology; 1.2.1.4 From the Viewpoint of Surgery; 1.2.2 Seeds and Solutions in Science, Technology, and Engineering; 1.3 Whole-Body Computational Anatomy; 1.3.1 Impact of Whole-Body Imaging. 1.3.2 Toward Complete Medical Image Understanding1.4 Book Organization; References; 2 Fundamental Theories and Techniques; 2.1 From Anatomy to Computational Anatomy; 2.1.1 Introduction; 2.1.2 Simple Examples; 2.1.2.1 Outline of ASM; 2.1.2.2 Required Techniques; 2.2 Mathematical Foundation; 2.2.1 Signal Processing; 2.2.1.1 Digital Images; 2.2.1.2 Linear Operation; 2.2.1.3 Convolution; 2.2.1.4 Cross Correlation; 2.2.1.5 Fourier Series Expansion; 2.2.1.6 Differentiation of Discrete Signals; 2.2.2 Fundamental Transformations; 2.2.2.1 Coordinate Transformation; 2.2.2.2 Linear Subspace. 2.2.2.3 Affine Transformation2.2.2.4 Singular Value Decomposition; 2.2.2.5 Principal Component Analysis; 2.2.3 Probability and Statistics: Foundations of CA; 2.2.3.1 Sum Rule and Product Rule of Probability; 2.2.3.2 Expectation and Variance; 2.2.3.3 Gaussian Distribution; 2.2.4 Foundations of Pattern Recognition; 2.2.4.1 Bayes Decision Theory;Preface; Acknowledgments; Contents; 1 Introduction; 1.1 What Is Computational Anatomy?; 1.2 Needs, Seeds, and Solutions Around Medical Imaging: History and Perspectives; 1.2.1 Needs in Medical Education and Clinical Practice; 1.2.1.1 From the Viewpoint of Medical Education; 1.2.1.2 From the Viewpoint of Diagnostic Radiology; 1.2.1.3 From the Viewpoint of Therapeutic Radiology; 1.2.1.4 From the Viewpoint of Surgery; 1.2.2 Seeds and Solutions in Science, Technology, and Engineering; 1.3 Whole-Body Computational Anatomy; 1.3.1 Impact of Whole-Body Imaging. 1.3.2 Toward Complete Medical Image Understanding1.4 Book Organization; References; 2 Fundamental Theories and Techniques; 2.1 From Anatomy to Computational Anatomy; 2.1.1 Introduction; 2.1.2 Simple Examples; 2.1.2.1 Outline of ASM; 2.1.2.2 Required Techniques; 2.2 Mathematical Foundation; 2.2.1 Signal Processing; 2.2.1.1 Digital Images; 2.2.1.2 Linear Operation; 2.2.1.3 Convolution; 2.2.1.4 Cross Correlation; 2.2.1.5 Fourier Series Expansion; 2.2.1.6 Differentiation of Discrete Signals; 2.2.2 Fundamental Transformations; 2.2.2.1 Coordinate Transformation; 2.2.2.2 Linear Subspace. 2.2.2.3 Affine Transformation2.2.2.4 Singular Value Decomposition; 2.2.2.5 Principal Component Analysis; 2.2.3 Probability and Statistics: Foundations of CA; 2.2.3.1 Sum Rule and Product Rule of Probability; 2.2.3.2 Expectation and Variance; 2.2.3.3 Gaussian Distribution; 2.2.4 Foundations of Pattern Recognition; 2.2.4.1 Bayes Decision Theory; 2.2.4.2 Classifier Design; 2.3 Computational Anatomical Model; 2.3.1 Models for Segmentation; 2.3.2 Geometrical Representation; 2.3.2.1 Representation Using Functions of Voxels; 2.3.2.2 Representation Using Parametric Functions; 2.3.2.3 Curves. 2.3.2.4 Surfaces2.3.2.5 Registration Required Before Measurement or Analysis; 2.3.3 Image Features and Landmarks; 2.3.3.1 Anatomical Landmarks; 2.3.3.2 Keypoints; 2.3.3.3 Edges and Ridges; 2.3.4 Diffeomorphism Frameworks; 2.3.4.1 LDDMM Framework for Registration; 2.3.4.2 SVF Framework; 2.3.4.3 Statistical Analysis on Shape Manifold; 2.3.4.4 Applications and Future Works; 2.3.5 Computational Anatomy and Registration; 2.3.5.1 Probabilistic Atlas; 2.3.5.2 SSMs; 2.3.6 CA-Based Segmentation; 2.3.6.1 Probabilistic Atlas-Based Segmentation; 2.3.6.2 Active Shape Model; 2.3.6.3 Level Set with CA. 2.3.6.4 Graph-Cuts with CA2.3.6.5 Ensemble Learning with CA; 2.3.7 Multiple Organs, Anomaly, and Lesions; 2.3.7.1 Multiple Organs; 2.3.7.2 Anatomical Anomaly; References; 3 Understanding Medical Images Based on Computational Anatomy Models; 3.1 Introduction; 3.2 Bone; 3.3 Skeletal Muscle; 3.3.1 Anatomical Modeling of Skeletal Muscles; 3.3.1.1 Muscle Distribution Model; 3.3.1.2 SSM; 3.4 Lymph Nodes; 3.4.1 Overview of Lymph Node Segmentation on Medical Images; 3.4.2 Overview of Lymph Node Segmentation from Abdominal CT Images; 3.4.2.1 Preprocessing; 3.4.2.2 Blob-Like Structure Enhancement. … (more)
- Publisher Details:
- Tokyo, Japan : Springer
- Publication Date:
- 2017
- Copyright Date:
- 2017
- Extent:
- 1 online resource, color illustrations
- Subjects:
- 611.00285
Human anatomy -- Data processing
Human anatomy -- Imaging
Diagnosis -- Data processing
MEDICAL -- Anatomy
SCIENCE -- Life Sciences -- Human Anatomy & Physiology
Diagnosis -- Data processing
Engineering
Biomedical Engineering
Imaging / Radiology
Medical and Radiation Physics
Anatomy
Computer Imaging, Vision, Pattern Recognition and Graphics
Complexity
Electronic books
Electronic book - Languages:
- English
- ISBNs:
- 9784431559764
4431559760 - Related ISBNs:
- 9784431559740
4431559744 - Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed June 21, 2017). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.403321
- Ingest File:
- 02_452.xml