Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models

  • Amir A. Amini
  • Jerry L. Prince

Part of the Computational Imaging and Vision book series (CIVI, volume 23)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Nathaniel Reichek
    Pages 17-36
  3. Idith Haber, Dimitris Metaxas, Leon Axel
    Pages 59-90
  4. Cengizhan Ozturk, Elliot R. McVeigh
    Pages 91-117
  5. Nael F. Osman, Jerry L. Prince
    Pages 119-150
  6. Thomas S. Denney Jr.
    Pages 151-181
  7. Yasheng Chen, Yu-Ping Wang, Amir A. Amini
    Pages 183-217
  8. Michael Markl, Britta Schneider, Jürgen Hennig
    Pages 219-255
  9. Yudong Zhu, Norbert J. Pelc
    Pages 257-288
  10. Xenophon Papademetris, Albert J. Sinusas, James S. Duncan
    Pages 289-313
  11. Back Matter
    Pages 315-320

About this book

Introduction

Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models describes the latest imaging and imag analysis techniques that have been developed at leading centers for the visualization, analysis, and understanding of normal and abnormal cardiac motion with magnetic resonance imaging (MRI). The use of MRI in measuring cardiac motion is particularly important because MRI is non-invasive, and it is the only modality capable of imaging detailed intramural motion within the myocardium.
Biomedical engineers, medical physicists, computer scientists, and physicians interested in learning about the latest advances in cardiovascular MRI should find this book to be a valuable educational resource. In particular, it is more tutorial in nature than most of the technical papers where the research was originally published. Practitioners and researchers working in the field of cardiovascular MRI will find the book to be filled with practical technical details and references to other work, enabling the implementation of existing methods and serving as a basis for further research in the area.

Keywords

biomedical engineers cardiovascular image analysis magnetic resonance imaging (MRI) modeling visualization

Editors and affiliations

  • Amir A. Amini
    • 1
  • Jerry L. Prince
    • 2
  1. 1.Washington UniversitySt. LouisUSA
  2. 2.Johns Hopkins UniversityBaltimoreUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-1265-7
  • Copyright Information Springer Science+Business Media B.V. 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5919-2
  • Online ISBN 978-94-015-1265-7
  • Series Print ISSN 1381-6446
  • About this book
Industry Sectors
Biotechnology
Pharma