A Model for Resolving Flow Parameters for MRINeuroimaging
Application

dc.creator	Emetere, Moses, Akinyemi, M. L.
dc.date	2015
dc.date.accessioned	2025-04-01T16:16:46Z
dc.description	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
dc.format	application/pdf
dc.identifier	http://eprints.covenantuniversity.edu.ng/10539/
dc.identifier.uri	https://repository.covenantuniversity.edu.ng/handle/123456789/40075
dc.language	en
dc.publisher	Science publications
dc.subject	Q Science (General), QC Physics
dc.title	A Model for Resolving Flow Parameters for MRINeuroimaging Application
dc.type	Article

Files

Now showing 1 - 1 of 1