Overview
- Facilitates fast, cost effective, reliable diagnosis, therapy and patient management
- Provides computer programs that are easy to use and highly interactive, with fast and unambiguous data processing
- Allows laboratories (with or without sophisticated facilities) to perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data
- Includes chapters intended to stimulate interest in next generation MRI and motivate readers for further investigation
- Shows how the use of simple data can produce data-driven predictions required for Machine Learning (ML), Artificial Intelligence (AI) and Deep Learning (DL)
Part of the book series: Biological and Medical Physics, Biomedical Engineering (BIOMEDICAL)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
About the authors
Dada, O. M. received BTech (Physics/Electronics with honours) from the Fed. Univ. of Tech., Minna, Nigeria in 2006, MTech (Solid State Physics) and PhD (Physics) from the same university in 2010 and 2016 respectively, under the supervision of Professor Awojoyogbe. He currently holds an academic position as a Senior Lecturer in the Dept. of Physics of the University. He has been involved in Magnetic resonance modelling of biological systems and applications of analytical NMR models to diseases and porous media.
Awojoyogbe, O. B. has PhD (1997) in Med. Phy. from Fed. Univ. of Tech., Minna, Nigeria in collaboration with Institute of Biomed. Eng. & Med. Informatics, ETH Zurich & Univ. of Zurich. He won the 2003 Young African Math. Medal Award by Afric. Math. Union. He is a Professor of Phy. & Ass. member of ICTP, Trieste, Italy. His research field is Theory, Dynamics & App. of Bloch NMR flow equations. He has been working closely as a research team with Dr. Dada O.M. since 2006.He is one of the pioneer researchers of Centre for Vacc. & Drug Develop. at the university. He currently serves as the Editor-in-Chief of the African Journal of Medical Physics (AJMP).
Bibliographic Information
Book Title: Computational Molecular Magnetic Resonance Imaging for Neuro-oncology
Authors: Michael O. Dada, Bamidele O. Awojoyogbe
Series Title: Biological and Medical Physics, Biomedical Engineering
DOI: https://doi.org/10.1007/978-3-030-76728-0
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-76727-3Published: 01 August 2021
Softcover ISBN: 978-3-030-76730-3Published: 02 August 2022
eBook ISBN: 978-3-030-76728-0Published: 31 July 2021
Series ISSN: 1618-7210
Series E-ISSN: 2197-5647
Edition Number: 1
Number of Pages: XXXI, 389
Number of Illustrations: 8 b/w illustrations, 109 illustrations in colour
Topics: Quantum Physics, Cancer Research, Applications of Mathematics, Biological and Medical Physics, Biophysics, Oncology, Neurology