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  1. Computational Molecular Magnetic Resonance Imaging for Neuro-oncology

    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...
    Michael O. Dada, Bamidele O. Awojoyogbe in Biological and Medical Physics, Biomedical Engineering
    Book 2021
  2. Radio-Frequency Identification System for Computational Magnetic Resonance Imaging of Blood Flow at Suction Points

    In this chapter, the solutions of the Bloch NMR flow equations based on the perturbation theory have been used to analyze the asymptotic suction...
    Chapter 2021
  3. Analysis of the Hydrogen-Like Atom for Neuro-Oncology Based on Bloch’s NMR Flow Equation

    Analytical solutions of Bloch’s nuclear magnetic resonance (NMR) flow equations for the hydrogen atom constitute a formidable mathematical problem....
    Chapter 2021
  4. Computational Analysis of Magnetic Resonance Imaging Contrast Agents and Their Physico-Chemical Variables

    This chapter shows how time-independent NMR Bloch flow equation can be used for comparative studies of contrast agent’s NMR response via the...
    Chapter 2021
  5. Application of “R” Machine Learning for Magnetic Resonance Relaxometry Data Representation and Classification of Human Brain Tumours

    Experimental methods alone are no longer enough for efficient diagnosis. The development of appropriate mathematical models and sophisticated...
    Chapter 2021
  6. Quantum Mechanical Model of the Bloch NMR Flow Equations for Transport Analysis of Quantum-Drugs in Microscopic Blood Vessels Applicable in Nanomedicine

    In the human cardiovascular system, there are more than 1010 capillary blood vessels the diameter of which is about the same size as that of blood...
    Chapter 2021
  7. General Introduction

    This Chapter establishes the biological bases of disease and the need for early diagnosis for prompt intervention. It highlights the drawbacks of...
    Chapter 2021
  8. Advanced Magnetic Resonance Image Processing and Quantitative Analysis in Avizo for Demonstrating Radiomic Contrast Between Radiation Necrosis and Tumor Progression

    Radiation necrosis is the most common side effect of stereotactic radiosurgery after tumor treatment. The features of necrosis are similar to those...
    Chapter 2021
  9. Radiofrequency Identification System for Computational Diffusion Magnetic Resonance Imaging Based on Bloch’s NMR Flow Equation and Hermite Functions

    In this Chapter, a mathematical analysis for Radiofrequency Identification System (RFID) systems for computational diffusion MRI based on Bloch’s NMR...
    Chapter 2021
  10. Fundamental Physics of Nuclear Magnetic Resonance

    This Chapter presents fundamental physics of nuclear magnetic resonance imaging (NMR), how it works and how knowledge of the expected behaviour of...
    Chapter 2021
  11. General Conclusion

    In this book, we have discussed practical ways that computational MRI can provide innovative data-driven solutions for the prediction, simplification...
    Chapter 2021
  12. A Computational MRI Based on Bloch’s NMR Flow Equation, MRI Fingerprinting and Python Deep Learning for Classifying Adult Brain Tumors

    No single neuroimaging technique currently lends itself to easy, reliable and consistent use in day-to-day settings to differentiate intra-axial...
    Chapter 2021
  13. Dynamics in Two-Dimensional Systems

    In this chapter we discuss two dimensional systems of differential equations. We treat fixed points and set rules to define the stability for linear...
    Michel J. A. M. van Putten in Dynamics of Neural Networks
    Chapter 2020
  14. Dynamics in One-Dimension

    In this chapter we discuss differential equations of one dependent variable. We treat fixed points and define rules to define the stability of these...
    Michel J. A. M. van Putten in Dynamics of Neural Networks
    Chapter 2020
  15. Synapses

    We discuss how neurons transmit signals between neurons, focusing on the chemical synapse. After a more phenomenological treatise, we derive...
    Michel J. A. M. van Putten in Dynamics of Neural Networks
    Chapter 2020
  16. Dynamics of Neural Networks A Mathematical and Clinical Approach

    This book treats essentials from neurophysiology (Hodgkin–Huxley equations, synaptic transmission, prototype networks of neurons) and related...

    Michel J.A.M. van Putten
    Textbook 2020
  17. Elementary Neural Networks and Synchrony

    All models discussed thus far were single cell models, but the brain has many cells that are coupled and exchange information. Connections of a few...
    Michel J. A. M. van Putten in Dynamics of Neural Networks
    Chapter 2020
  18. Seizures and Epilepsy

    In this chapter, we present clinical aspects of seizures and epilepsy. We discuss how dynamical models can advance our understanding of epilepsy and...
    Michel J. A. M. van Putten in Dynamics of Neural Networks
    Chapter 2020
  19. Hypoxia and Neuronal Function

    The brain is obligatory dependent on sufficient oxygen and glucose. Deprivation of either glucose or oxygenOxygen (oxygen-glucose deprivation, OGD)...
    Michel J. A. M. van Putten in Dynamics of Neural Networks
    Chapter 2020
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