Computational Molecular Magnetic Resonance Imaging for Neuro-oncology - Rilegato

Awojoyogbe, Bamidele O.

Rilegato

ISBN 10: 3030767272 ISBN 13: 9783030767273

Casa editrice: Springer-Verlag GmbH, 2021

Riassunto

Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T₁ and T₂ relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.

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Informazioni sull?autore

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).

Dalla quarta di copertina

Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T₁ and T₂ relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medial personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic Resonance Imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.

Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030767272
• ISBN 13: 9783030767273
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 424
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania