Computational molecular magnetic resonance imaging for neuro-oncology

Computational molecular magnetic resonance imaging for neuro-oncology / Michael O. Dada, Bamidele O. Awojoyogbe.

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 fas...

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Bibliographic Details
Main Authors: Dada, Michael O. (Author), Awojoyogbe, Bamidele O. (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2021.
Series:Biological and medical physics, biomedical engineering.
Subjects:
Magnetic resonance imaging.
Brain > Cancer > Magnetic resonance imaging.
Magnetic resonance imaging
Online Access:Click for online access
Table of Contents:
  • Chapter 1. General Introduction
  • Chapter 2. Fundamental Of Nmr
  • Chapter 3. Computational Diffusion Magnetic Resonance Imaging
  • Chapter 4. Radiofrequency Identification (Rfid) System For Computational Magnetic Resonance Imaging Of Blood Flow At Suction Points
  • Chapter 5. A Computational Magnetic Resonance Imaging Based On Bloch Nmr Flow Equation, Mri Finger Printing, Python Deep Learning For The Classification Of Adult Brain Tumours
  • Chapter 6. Analysis Of Hydrogen-Like Ions For Neurocomputing Based On Bloch Nmr Flow Equation
  • Chapter 7. Quantum Mechanical Model Of Bloch Nmr Flow Equations For The Transport Analysis Of Quantm-Drugs In Microscopic Blood Vessels Applicable In Nanomedicine
  • Chapter 8. Application Of Machine Learning For Magnetic Resonance Relaxometry Data-Representation And Classification Of Human Brain Tumours
  • Chapter 9. Advanced Magnetic Resonance Image Processing And Quantitative Analysis In Avizo For Demonstrating Radiomic Contrast Between Radiation Necrosis And Tumor Progression
  • Chapter 10. Computational Analysis of Magnetic Resonance Imaging Contrast Agents and their Physico-Chemical Variables
  • Chapter 11. General Conclusion.

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