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.

eBook Title: Medical Image Registration
Author:Joseph V. Hajnal,Derek L.G. Hill
Published on 2001-06-27 by CRC Press


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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.

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Joseph V. Hajnal,Derek L.G. Hill
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Book Details:
  1. Book was ranked at 26 by Google Books for Medical Image Registration
  2. Medical Image Registration published by CRC Press since 2001-06-27 with ISBNs. The book ISBN 13 Code is 9781420042474 and ISBN 10 Code is 1420042475
  3. Reading Mode in Text Status is true and Reading Mode in Image Status is true
  4. The book has "392 Pages" is Printed at BOOK underMedicalCategory
  5. Rated by 1 Raters and have average rate at "5.0"
  6. eBook Maturity (Adult Book) status is NOT_MATURE
  7. eBook written in en
  8. Book Preview Address: http://books.google.com/books?id=2dtQNsk-qBQC&printsec=frontcover&dq=Medical&hl=&cd=265&source=gbs_api

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