A Model for Resolving Flow Parameters for MRINeuroimaging Application
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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
Keywords
Q Science (General), QC Physics