Bamidele, Awojoyogbe O

Confidence, Raymond

Michael, Dada O

English

Scholarship@Western

Western University Scholarship@Western Africa Western Collaborations Day 2020 Abstracts Africa Western Collaborations Day 2020 Conputational Magnetic Resonance Imaging: New Concepts and Emerging Applications Awojoyogbe O. Bamidele Federal University of Technology, Minna, Niger State, Nigeria, abamidele@futminna.edu.ng Raymond Confidence Federal University of Technology, Minna, Niger State, Nigeria Dada O. Michael Federal University of Technology, Minna, Niger State, Nigeria Follow this and additional works at: https://ir.lib.uwo.ca/awc_abstracts  Part of the Physics Commons Citation of this paper: Bamidele, Awojoyogbe O.; Confidence, Raymond; and Michael, Dada O., "Conputational Magnetic Resonance Imaging: New Concepts and Emerging Applications" (2020). Africa Western Collaborations Day 2020 Abstracts. 46. https://ir.lib.uwo.ca/awc_abstracts/46 CONPUTATIONAL MAGNETIC RESONANCE IMAGING: NEW CONCEPTS AND EMERGING APPLICATIONS Dada O. Michael, Raymond Confidence, Awojoyogbe O. Bamidele,  Department of Physics, Federal University of Technology, Minna, Niger State, Nigeria     Email: abamidele@futminna.edu.ng   INTRODUCTION Interaction between science, technology and healthcare has emerged as a critical area of research. The rapid development of innovations including Internet of Things (IoT), big data analysis techniques, and miniature wearable biosensors are generating new opportunities for situation-aware mHealth and uHealth healthcare systems. Many challenges in the emerging technology can be addressed by the development of consistent, suitable, safe, flexible and real-time healthcare systems based on the Bloch NMR flow equation. MATHEMATICAL CONCEPT A second order non homogeneous differential equation has been derived from the fundamental Bloch NMR equations given as: (1) where γ is the gyromagnetic ratio, v is the fluid velocity, T1 and T2 are spin lattice and spin spin relaxation times respectively, Mo is the Nuclear Magnetic Resonance (NMR) equilibrium magnetization and My is the Nuclear Magnetic Resonance (NMR) transverse magnetization. At any given time t, we can obtain useful (previously hidden) information about the system, if appropriate boundary conditions are applied. The term  is the forcing function. If this function is zero, a freely vibrating system results; else, the system is undergoing a forced vibration. The term  defines the radiofrequency identification (RFID) system.  INNOVATIONS Analytical solutions to equation (1) in terms of NMR/MRI relaxation parameters have further enhanced the power of NMR and MRI. Specific applications are featured prominently in our recent publications [1-4]. Our theoretical concepts and analytical models were applied to open up new research fields in Cognitive Neuroscience, Biomedical Engineering, Crystallography, Petroleum Science and Engineering, Computational medicine and Quantum Mechanics. Such knowledge can initiate unforeseen technological possibilities based on much improved understanding of nature. CONCLUSION Our present study has explored the excellent applications of equation(1) to the field of neuroscience, with the goal of further applications to recent advances in selective recording and perturbation approaches involving large populations of neurons. This will offer unique opportunities to test and challenge current interpretations of large data sets and trigger novel theoretical developments in the following topics of particular interest: hybrid cloud quantum computing / quantum systems, Artificial Intelligence, cloud / open source technologies and data science systems.  REFERENCES  2 2 22 2 2 112 21 2 1 2 1 2 1( , )1 1 1 1 12 (x, )y y y y y oyM M M M M M B x tv v v B t Mx x t t T T x T T t TT T         + + + + + + + + =               11( , )oM B x tT1( , )B x t1. Dada O. Michael, Jayeoba O. Babatunde,  Awojoyogbe O. Bamidele, Uno E. Uno, Awe E. Oluseyi (2017). Mathematical Development and Computational Analysis of Harmonic Phase-Magnetic Resonance Imaging (HARP-MRI) based on Bloch Nuclear Magnetic Resonance (NMR) Diffusion Model for Myocardial Motion. Journal of Medical Systems, 41:1-20. DOI: 10.1007/s10916-017-0816-2. 2. Awojoyogbe O. Bamidele, Dada O. Michael, Onwu O. Samuel, Ige A. Taofeeq, Akinwande I. Ninuola. Computational Diffusion Magnetic Resonance Imaging Based On Time-Dependent Bloch NMR Flow Equation and Bessel Functions. Journal of Medical System (2016) 40:106. 3. O.M. Dada, O.B. Awojoyogbe, A.C. Ukoha, (2015): A computational analysis for quantitative evaluation of petrol-physical properties of rock fluids based on Bloch NMR diffusion model for porous media. Journal of Petroleum Science and Engineering 127, 137 – 147. 4. Awojoyogbe, O. B.(2007):. A quantum mechanical model of the Bloch NMR flow equations for electron dynamics in fluids at the molecular level. Phys, Scr.75, 788-794.     

Conputational Magnetic Resonance Imaging: New Concepts and Emerging Applications

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Conputational Magnetic Resonance Imaging: New Concepts and Emerging Applications

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