Overview
- Educates the reader about the setup of basic experiments and development of multi-physics models
- Covers the formulation and solution of electromagnetic forward and inverse problems
- Describes in detail electromagnetic safety
Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 1380)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
- electromagnetic MRI data acquisition
- electromagnetic mrept experiment setup
- electromagnetic properties mapping mri
- electromagnetic properties mapping MREIT
- electromagnetic properties mapping safety
- electromagnetic properties mapping MREPT
- electromagnetic properties mapping density
- electromagnetic properties MR basics
- electromagnetic properties mapping introduction
- electromagnetic mapping phantom development
- electromagnetic properties mapping modeling
About this book
This book covers the latest developments in tissue electrical conductivity and current density imaging, increasingly popular as well as challenging applications of MRI. These applications are enabled by the acquisition of high-quality MR phase images. This book provides a practical description of the MRI physics needed to understand and acquire phase images in MRI and the key details required to reconstruct them into conductivity, current density or electric field distributions. Comprehensive details are provided about the electrical properties of biological tissues, computational modeling considerations, experimental methods, construction of non-biological and biological phantoms and MRI pulse sequences. An inclusive review of image reconstruction algorithms, and their potential applications is provided for applications directed at determining current density or electric fields, such as in transcranial DC or AC stimulation techniques; as well as electrical conductivity reconstructions that may be of use in quantitative MRI applications used to detect cancer or other pathologies. This is an excellent book for undergraduate and graduate students beginning to explore phase, current density, and conductivity imaging in MRI, and will also be of great use to researchers interested in the area of MR-based electrical property imaging.
Editors and Affiliations
About the editors
Rosalind Sadleir is an Associate Professor in the School of Biological Health Systems Engineering at Arizona State University. Her areas of interest range over theoretical electromagnetic analysis and modeling, experimental and clinical measurements and commercial device development. She has been involved in and made contributions to MREIT in pulse sequence development, finite element modeling, high field imaging, algorithm development and functional imaging.
Dr Atul Singh Minhas is an academic in the School of Engineering at Macquarie University in Sydney (Australia). Dr Minhas has extensive industry experience in the design and development of multiple 3T MRI systems from concept to fully functional imaging devices. He has contributed to the theory and applications of MR-based electrical conductivity imaging techniques at magnetic fields of 3T, 9.4T and 18.8T.
Bibliographic Information
Book Title: Electrical Properties of Tissues
Book Subtitle: Quantitative Magnetic Resonance Mapping
Editors: Rosalind Sadleir, Atul Singh Minhas
Series Title: Advances in Experimental Medicine and Biology
DOI: https://doi.org/10.1007/978-3-031-03873-0
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-03872-3Published: 29 October 2022
Softcover ISBN: 978-3-031-03875-4Published: 29 October 2023
eBook ISBN: 978-3-031-03873-0Published: 28 October 2022
Series ISSN: 0065-2598
Series E-ISSN: 2214-8019
Edition Number: 1
Number of Pages: VII, 206
Number of Illustrations: 29 b/w illustrations, 72 illustrations in colour
Topics: Biomedical Engineering/Biotechnology, Neuroradiology, Biomedical Engineering and Bioengineering, Neurosciences