Medical image registration
Author(s)
Bibliographic Information
Medical image registration
（Biomedical engineering）
CRC Press, Taylor & Francis Group, 2019, c2001
- : pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provides the first comprehensive coverage of this emerging field.
This monograph details the theory, technology, and practical implementations in a variety of medical settings. International experts thoroughly explain why image registration is important, describe its applications in a nonmathematical way, and include rigorous analysis for those who plan to implement algorithms themselves. It is accessible and informative to those new to the field, yet it provides in-depth treatment for the expert. With its practical examples, extensive illustrations, and comprehensible approach, Medical Image Registration is a must have guide for medical physicists, clinicians, and researchers.
Table of Contents
Introduction. METHODOLOGY. Registration Methodology: Introduction. Registration Methodology: Concepts and Algorithms. Preparation and Display of Image Data. Correcting the Scanner Errors in CT, MRI, SPECT, and 3D Ultrasound. Detecting Failure, Assessing Success. APPLICATIONS OF RIGID BODY REGISTRATION. Registration and Subtraction of Serial MRI of the Brain. The Role of Registration in Functional MRI. Registration of MRI and PET Images for Clinical Applications. Registration of MR and CT Images for Clinical Applications. Image Registration in Nuclear Medicine. Guiding Therapeutic Procedures. TECHNIQUES AND APPLICATIONS OF NONRIGID REGISTRATION. Nonrigid Registration: Concepts, Algorithms, and Applications. Use of Registration for Cohort Studies. Biomechanical Modeling for Image Registration: Applications in Image Guided Neurosurgery. View of the Future.
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