FMRI signal noise based processing method

Abstract

The invention discloses an FMRI signal noise processing method, in particular to a thermal noise processing method. The method has the advantages that a noise value of Gaussian white noise in nerve cells, affecting neuron membrane potential and energy function, is measured, and the signal-to-noise ratio of neural signals to Gaussian white noise in nerve cells is further calculated; accordingly, FMRI signals can be subjected to spectral analysis, the influence of white noise upon the FMRI signals is eliminated, and more accurate results are obtained.

Description

technical field [0001] The invention relates to a processing method for FMRI signal noise, in particular to a processing method for thermal noise. Background technique [0002] There is now a very good technique for imaging the brain, and that is functional magnetic resonance imaging (FMRI). Spatial encoding is a key technique in magnetic resonance imaging. The principle of FMRI imaging is that locally enhanced blood flow (and blood volume) increases effective T2* and makes BOLD contrast work. The BOLD contrast magnetization signal is sampled as discrete data points (once per TR) to generate the MRI signal. This is a digitized signal that can be further processed. In addition to experimentally induced neural activity, internal neural activity can also cause fluctuations in blood flow, and physiological states may also have an impact on BOLD. All forms of motion are sources of noise that cause signal fluctuations. These noises have been resolved by people through spectru...

AI Technical Summary

Problems solved by technology

Another source of noise is Gaussian white noise inside neurons. White noise affects FMRI signals by affecting blood flow. So far, there is no way to eliminate the influence of white noise.