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A Model for Resolving Flow Parameters for MRINeuroimaging Application

Emetere, Moses and Akinyemi, M. L. (2015) A Model for Resolving Flow Parameters for MRINeuroimaging Application. American Journal of Applied Sciences.

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The functionality of recent neuroimaging using the MRI machine has generated errors which are peculiar to all kinds of MRI processes. Though hardwares are used to complement the MRI process, the problems are not completely solved due to its fundamental errors. The fundamental error is in the exclusion of molecular interaction in the ab-initio Bloch NMR. A new mathematical concept was applied to resolve the functionality problems. The Bloch NMR features and the molecular interactions were fused via a Hamiltonian process. The simulation obtained reveals the tendencies of signals to diverge. This concept was summarized via a concept known as the signal loss factor 'E'. The signal loss factor 'E' exists when spin velocity fluctuates due to compartmental boundaries in the macromolecular sites. We propose that the fundamental error-signal loss factor 'E', is a vital factor required for clinical diagnosis of cognitive impairment

Item Type: Article
Uncontrolled Keywords: Molecular Interactions, MR Signals, Neuro-Imaging, Cognitive Impairment
Subjects: Q Science > Q Science (General)
Q Science > QC Physics
Divisions: Faculty of Engineering, Science and Mathematics > School of Physics
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 29 Mar 2018 14:33
Last Modified: 29 Mar 2018 14:33

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