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首页> 外文期刊>American journal of applied sciences >A Model for Resolving Flow Parameters for MRI-Neuroimaging Application | Science Publications
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A Model for Resolving Flow Parameters for MRI-Neuroimaging Application | Science Publications

机译：MRI神经成像应用的流量参数解析模型科学出版物

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> >The functionality of recent neuroimaging using the MRImachine has generated errors which are peculiar to all kinds of MRI processes.Though hardwares are used to complement the MRI process, the problems are notcompletely solved due to its fundamental errors. The fundamental error is inthe exclusion of molecular interaction in the ab-initio Bloch NMR. A newmathematical concept was applied to resolve the functionality problems. TheBloch NMR features and the molecular interactions were fused via a Hamiltonianprocess. 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 tocompartmental boundaries in the macromolecular sites. We propose that thefundamental error-signal loss factor 'E', is a vital factor required forclinical diagnosis of cognitive impairment.
机译： > >最近使用MRI机器进行神经成像的功能产生了各种MRI过程特有的错误，尽管使用硬件对MRI过程进行了补充，但由于其基本原理无法完全解决问题错误。基本错误是从头计算布洛赫（Bloch）NMR中排除了分子相互作用。应用了新的数学概念来解决功能性问题。通过汉密尔顿过程融合了Bloch NMR特征和分子相互作用。仿真结果揭示了信号发散的趋势。通过一个称为信号损耗因子“ E”的概念对此概念进行了总结。当自旋速度由于大分子部位中的隔室边界而波动时，存在信号损耗因子“ E”。我们建议，基本错误信号丢失因子“ E”是认知障碍临床诊断所需的重要因素。

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