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Method for eliminating functional magnetic resonance data noise based on independent component space relativity

A functional magnetic resonance and spatial correlation technology, which is applied in magnetic resonance measurement, measurement using nuclear magnetic resonance imaging system, and magnetic variable measurement, etc. Elimination of low-frequency noise components, noise removal, simple data processing effects

Inactive Publication Date: 2006-05-24
SOUTHEAST UNIV
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Problems solved by technology

[0008] The invention provides a method for eliminating noise in functional magnetic resonance data based on the spatial correlation of independent components, which can effectively eliminate physiological noise in multi-layer functional magnetic resonance data, and solve the existing problem of eliminating corresponding physiological noise components by increasing data post-processing Complexity is the cost or the collection frequency of functional data must be higher than the frequency of physiological movement and other harsh conditions

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  • Method for eliminating functional magnetic resonance data noise based on independent component space relativity
  • Method for eliminating functional magnetic resonance data noise based on independent component space relativity
  • Method for eliminating functional magnetic resonance data noise based on independent component space relativity

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[0054] We validate the proposed method by processing and analyzing real auditory fMRI data. Experimental data provided by Wellcom Neuroimaging Laboratory, University of London. The auditory experiment included two states of rest and excitation. No stimulation was applied during the rest period, and auditory stimulation was applied at a rate of 60 two-syllable English words per minute during the excitation period. This experiment was repeated 8 times in total. In each experiment, the rest period and the excitation period were sampled 6 times respectively. Each sampling obtained 64 consecutive transverse axial tomographic images, and the scanning matrix was 64×64×64. The sampling repetition time of a single scan is TR=7s, and the whole experiment lasts for 6 minutes. The specific implementation is as follows:

[0055] 1) After preprocessing the experimental data by motion correction and spatial standardization using the currently more general functional magnetic resonance stat...

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Abstract

The present invention discloses a method for eliminating functional magnetic resonance data noise based on independent component space correlation. Said method includes the following steps: firstly, making image segmentation of gray matter region and cerebrospinal fluid region of image; respectively making main component analysis and frequency spectrum analysis; defining and eliminating random noise component in the main component; reconstructing gray matter data and cerebrospinal fluid data after the random noise is eliminated; making independent component decomposition of the reconstructed data; utilizing independent component to respectively construct matrix; then making typical related analysis and sequencing, and zero-setting these components so as to obtain a group of new independent components; reconstructing data after various noise components are eliminated, and repeating the above-mentioned steps until the related maximum various noise components in various layers of gray matter data and cerebrospinal fluid data are eliminated.

Description

technical field [0001] The invention relates to the field of data processing in functional magnetic resonance imaging technology, in particular to a method for eliminating noise of functional magnetic resonance data based on the spatial correlation of independent components. Background technique [0002] Based on the blood oxygenation level dependent (BOLD) contrast mechanism, functional magnetic resonance imaging (functional MRI, fMRI) can detect the local hemodynamic changes associated with the neural activity of the cerebral cortex in real time. However, the change of the magnetic resonance signal based on the BOLD effect is very small, only 0.5-2% when the magnetic field strength is 1.5T. In addition, brain tissue pulsation caused by periodic respiration and cardiac motion and other complex physiological movements during image sequence acquisition will lead to many physiologically relevant MRI signal changes. These physiologically relevant MRI signal changes constitute ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055G01R33/48
Inventor 王世杰罗立民李松毅
Owner SOUTHEAST UNIV
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