Computational Molecular Magnetic Resonance Imaging for Neuro-oncology

Beschreibung

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.
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.
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)

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Computational Magnetic Resonance Imaging Neurocomputing Neuro oncology Bloch NMR flow equation Machine Learning Artificial Intelligence Oncology

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