A Model for Resolving Flow Parameters for MRI-Neuroimaging Application
Moses E. Emetere and M.L. Akinyemi
DOI : 10.3844/ajassp.2015.627.635
American Journal of Applied Sciences
Volume 12, Issue 9
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 âEâ. The signal loss factor âEâ exists when spin velocity fluctuates due to compartmental boundaries in the macromolecular sites. We propose that the fundamental error-signal loss factor âEâ, is a vital factor required for clinical diagnosis of cognitive impairment.
© 2015 Moses E. Emetere and M.L. Akinyemi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.