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Other titles in the Advances in Pattern Recognition series:

Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Pattern Recognition)

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Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Pattern Recognition) Cover

 

Synopses & Reviews

Publisher Comments:

Computerized tomography, the process of obtaining the density distribution within a human body from multiple x-ray projections, has revolutionized diagnostic radiology over the past three decades. Fundamentally the same computational process has been used for reconstruction from projections in many other fields of science, engineering and medicine; for example, for the reconstruction of biological macromolecules from electron micrographs. This thoroughly revised and fully updated text/reference presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. Focused on the needs of the practitioner, with emphasis on reconstruction methods, the book carefully discusses points of implementation and application. Following the successful formula of the widely cited first edition, the book investigates the field of computerized tomography in detail, summarizing the diverse applications of the technique. Further chapters concentrate on reconstruction algorithms, followed by a treatment of the 3D display of the results and a final chapter with proofs of the fundamental mathematical theorems. Some entirely new topics are introduced; these include the fast calculation of a ray sum for a digitized picture, the task-oriented comparison of reconstruction algorithm performance, blob basis functions and the linogram method for image reconstruction. Topics and features: *Describes how projection data are obtained and the resulting reconstructions are used in science and medicine, focusing on x-ray data but also covering other fields such as electron microscopy, nuclear medicine, ultrasound, materials science and nondestructive testing *Presents a comparative evaluation of reconstruction methods, their accuracy under ideal and realistic circumstances, computational costs, task-oriented performance, and general applicability *Provides a useful general syllabus for introductory courses *Investigates reconstruction algorithms, including filtered backprojection, Fourier and linogram reconstruction methods, algebraic reconstruction techniques, and quadratic optimization *Explores basis functions, functions to be optimized, norms, generalized inverses, least squares solutions, and maximum entropy solutions, as well as most likely estimates *Discusses the design and application of a large programming system (SNARK09) for image reconstruction, as well as computerized methods for 3D surface detection and display *Concludes each chapter with helpful Notes and References sections This easy-to-read text/reference is an excellent guide for practitioners from a range of disciplines across science, engineering, and medicine. Based on three decades of the author's teaching, it can also serve as a textbook for an introductory graduate course on image reconstruction.

Synopsis:

This revised and updated text presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics: the fast calculation of a ray sum for a digitized picture, the task-oriented comparison of reconstruction algorithm performance, blob basis functions and the linogram method for image reconstruction. Features: Describes how projection data are obtained and the resulting reconstructions are used; Presents a comparative evaluation of reconstruction methods; Investigates reconstruction algorithms; Explores basis functions, functions to be optimized, norms, generalized inverses, least squares solutions, maximum entropy solutions, and most likely estimates; Discusses SNARK09, a large programming system for image reconstruction; Concludes each chapter with helpful Notes and References sections. An excellent guide for practitioners, it can also serve as a textbook for an introductory graduate course.

Synopsis:

This revised and updated edition presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics include fast calculation of a ray sum in a digitized image and the task-oriented comparison of reconstruction algorithm performance.

Synopsis:

This revised and updated second edition - now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction. It covers the fundamentals of computerized tomography, including all the computational and mathematical procedures underlying data collection, image reconstruction and image display. Among the new topics covered are: spiral CT, fully 3D positron emission tomography, the linogram mode of backprojection, and state of the art 3D imaging results. It also includes two new chapters on comparative statistical evaluation of the 2D reconstruction algorithms and alternative approaches to image reconstruction.

Table of Contents

Introduction An Overview of the Process of CT Physical Problems Associated with Data Collection in CT Computer Simulation of Data Collection in CT Data Collection and Reconstruction of the Head Phantom Basic Concepts of Reconstruction Algorithms Backprojection Filtered Backprojection for Parallel Beams Other Transform Methods for Parallel Beams Filtered Backprojection for Divergent Beams Algebraic Reconstruction Techniques Quadratic Optimization Methods Truly Three-Dimensional Reconstruction Three-Dimensional Display of Organs Mathematical Background

Product Details

ISBN:
9781852336172
Author:
Herman, Gabor T.
Publisher:
Springer
Subject:
Administration
Subject:
Image processing
Subject:
Computer Vision
Subject:
Diagnostic Imaging
Subject:
Bioinformatics
Subject:
Tomography
Subject:
Imaging systems in medicine
Subject:
Health and Medicine-Medical Specialties
Subject:
Computer Graphics - General
Subject:
Image Processing and Computer Vision
Subject:
Imaging / Radiology
Subject:
Pattern recognition.
Subject:
Health Informatics
Subject:
Math Applications in Computer Science
Copyright:
Edition Description:
2nd ed. 2010
Series:
Advances in Computer Vision and Pattern Recognition
Publication Date:
20091113
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
312
Dimensions:
235 x 155 mm 615 gr

Related Subjects

Computers and Internet » Computers Reference » Bioinformatics
Computers and Internet » Graphics » Image Processing
Health and Self-Help » Health and Medicine » Medical Specialties
History and Social Science » Politics » General
Reference » Science Reference » Technology

Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Pattern Recognition) New Hardcover
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Product details 312 pages Springer - English 9781852336172 Reviews:
"Synopsis" by , This revised and updated text presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics: the fast calculation of a ray sum for a digitized picture, the task-oriented comparison of reconstruction algorithm performance, blob basis functions and the linogram method for image reconstruction. Features: Describes how projection data are obtained and the resulting reconstructions are used; Presents a comparative evaluation of reconstruction methods; Investigates reconstruction algorithms; Explores basis functions, functions to be optimized, norms, generalized inverses, least squares solutions, maximum entropy solutions, and most likely estimates; Discusses SNARK09, a large programming system for image reconstruction; Concludes each chapter with helpful Notes and References sections. An excellent guide for practitioners, it can also serve as a textbook for an introductory graduate course.
"Synopsis" by , This revised and updated edition presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics include fast calculation of a ray sum in a digitized image and the task-oriented comparison of reconstruction algorithm performance.
"Synopsis" by , This revised and updated second edition - now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction. It covers the fundamentals of computerized tomography, including all the computational and mathematical procedures underlying data collection, image reconstruction and image display. Among the new topics covered are: spiral CT, fully 3D positron emission tomography, the linogram mode of backprojection, and state of the art 3D imaging results. It also includes two new chapters on comparative statistical evaluation of the 2D reconstruction algorithms and alternative approaches to image reconstruction.
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