Computational Molecular Magnetic Resonance Imaging for Neuro-oncology

This book presents analytical methods and computer programs for MRI tissue diagnosis, making it accessible to laboratories with or without sophisticated facilities. It enables data-driven predictions for machine learning, AI, and deep learning in medical research.

Format: Hardback
Length: 389 pages
Publication date: 01 August 2021
Publisher: Springer Nature Switzerland AG

This book presents a comprehensive approach to MRI tissue diagnosis, leveraging analytical methods and computer programs. By utilizing relaxometric data and proficiency in simple computer programs, it becomes possible to perform MRI tissue diagnosis with ease. These programs are highly interactive, user-friendly, and offer rapid and accurate data processing. Whether in well-equipped laboratories or with basic facilities, computational magnetic resonance diagnosis can be achieved using T1 and T2 relaxation data.

The remarkable outcomes of this approach have sparked a growing interest in using data to generate predictions for machine learning, artificial intelligence (AI), and deep learning. This has significant implications for multidisciplinary and interdisciplinary research, as it enables the development of new concepts for a deeper understanding of computational magnetic resonance imaging in medical diagnosis, prognosis, therapy, and tissue disease management.

With its extensive coverage, this book is an invaluable resource for students, scientists, engineers, medical professionals, and researchers seeking to advance their knowledge and expertise in computational magnetic resonance imaging for medical applications. It provides a solid foundation for understanding the principles, techniques, and applications of MRI, enabling readers to apply this knowledge to real-world scenarios and contribute to the field's ongoing advancements.

Weight: 799g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030767273
Edition number: 1st ed. 2021