The Resource Handbook of biomedical imaging : methodolgoies and clinical research, Nikos Paragios, James Duncan, Nicholas Ayache, editors

Handbook of biomedical imaging : methodolgoies and clinical research, Nikos Paragios, James Duncan, Nicholas Ayache, editors

Label
Handbook of biomedical imaging : methodolgoies and clinical research
Title
Handbook of biomedical imaging
Title remainder
methodolgoies and clinical research
Statement of responsibility
Nikos Paragios, James Duncan, Nicholas Ayache, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
Biomedical image analysis has become a major aspect of engineering sciences, and radiology in particular has become a dominant player in the field. Recent developments have made it possible to use biomedical imaging to view the human body from an anatomical or physiological perspective in a non-invasive fashion. Computer-aided diagnosis consists of developing algorithms and intelligent software components that can automatically process images and spot potential irregularities in the health chain. This book explains the process of computer assisted biomedical image analysis diagnosis through mathematical modeling and inference of image-based bio-markers. It covers five crucial thematic areas: methodologies, statistical and physiological models, biomedical perception, clinical biomarkers, and emerging modalities and domains. The dominant state-of-the-art methodologies for content extraction and interpretation of medical images include fuzzy methods, level set methods, kernel methods, and geometric deformable models. The models and techniques discussed are used in the diagnosis, planning, control and follow-up of medical procedures. Throughout the book, challenges and limitations are explored along with new research directions. This complete volume is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors. This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses
Member of
Cataloging source
N$T
Dewey number
616.07/54
Index
no index present
LC call number
RC78.7.D53
LC item number
H35 2015eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • handbooks
NLM call number
WN 180
http://library.link/vocab/relatedWorkOrContributorName
  • Paragios, Nikos
  • Duncan, James
  • Ayache, Nicholas
http://library.link/vocab/subjectName
  • Diagnostic imaging
  • Imaging systems in medicine
  • HEALTH & FITNESS
  • MEDICAL
  • MEDICAL
  • MEDICAL
  • MEDICAL
  • Diagnostic imaging
  • Imaging systems in medicine
  • Computer Science
  • Computer Imaging, Vision, Pattern Recognition and Graphics
  • Imaging / Radiology
  • Diagnostic Imaging
  • Computer vision
  • Radiology
Label
Handbook of biomedical imaging : methodolgoies and clinical research, Nikos Paragios, James Duncan, Nicholas Ayache, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-0-387-09749-7
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Object Segmentation and Markov Random Fields -- Fuzzy methods in medical imaging -- Curve Propagation, Level Set Methods and Grouping -- Kernel Methods in Medical Imaging -- Geometric Deformable Models: Overview and Recent Developments -- Active Shape and Appearance Models -- Statistical Atlases -- Statistical Computing on Non-Linear Spaces for Computational Anatomy -- Building Patient-Specific Physical and Physiological Computational Models from Medical Images -- Constructing a Patient-Specific Model Heart from CT Data -- Image-based haemodynamics simulation in intracranial aneursyms -- Atlas-based Segmentation -- Integration of Topological Constraints in Medical Image Segmentation -- Monte Carlo Sampling for the Segmentation of Tubular Structures -- Non-rigid registration using free-form deformations -- Image registration using mutual information -- Physical Model Based Recovery of Displacement and Deformations from 3D medical images -- Cardiovascular Informatics -- Rheumatoid Arthritis Quantifiction using Appearance Models -- Medical Image Processing for Analysis of Colon Motility -- Segmentation of Diseased Livers: A 3D Refinement Approach -- Intra and inter subject analyses of brain functional Magnetic Resonance Images (fMRI) -- Diffusion Tensor Estimation, Regularization and Classification -- From Local Q-Ball Estimation to Fibre Crossing Tractography -- Segmentation of clustered cells in microscopy images by geometric PDEs and level sets -- Atlas-based whole-body registration in mice
Dimensions
unknown
Extent
1 online resource (vii, 511 pages)
File format
unknown
Form of item
online
Isbn
9780387097480
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-0-387-09749-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)905649282
  • (OCoLC)ocn905649282
Label
Handbook of biomedical imaging : methodolgoies and clinical research, Nikos Paragios, James Duncan, Nicholas Ayache, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-0-387-09749-7
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Object Segmentation and Markov Random Fields -- Fuzzy methods in medical imaging -- Curve Propagation, Level Set Methods and Grouping -- Kernel Methods in Medical Imaging -- Geometric Deformable Models: Overview and Recent Developments -- Active Shape and Appearance Models -- Statistical Atlases -- Statistical Computing on Non-Linear Spaces for Computational Anatomy -- Building Patient-Specific Physical and Physiological Computational Models from Medical Images -- Constructing a Patient-Specific Model Heart from CT Data -- Image-based haemodynamics simulation in intracranial aneursyms -- Atlas-based Segmentation -- Integration of Topological Constraints in Medical Image Segmentation -- Monte Carlo Sampling for the Segmentation of Tubular Structures -- Non-rigid registration using free-form deformations -- Image registration using mutual information -- Physical Model Based Recovery of Displacement and Deformations from 3D medical images -- Cardiovascular Informatics -- Rheumatoid Arthritis Quantifiction using Appearance Models -- Medical Image Processing for Analysis of Colon Motility -- Segmentation of Diseased Livers: A 3D Refinement Approach -- Intra and inter subject analyses of brain functional Magnetic Resonance Images (fMRI) -- Diffusion Tensor Estimation, Regularization and Classification -- From Local Q-Ball Estimation to Fibre Crossing Tractography -- Segmentation of clustered cells in microscopy images by geometric PDEs and level sets -- Atlas-based whole-body registration in mice
Dimensions
unknown
Extent
1 online resource (vii, 511 pages)
File format
unknown
Form of item
online
Isbn
9780387097480
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-0-387-09749-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)905649282
  • (OCoLC)ocn905649282

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