Method for specification extraction of magnetic resonance imaging brain active region based on pattern recognition

Abstract

The present invention discloses an arithmetic of picking up magnetic resonance imaging cerebral active regions by sorting based on mode identification, which comprises the steps that cerebral active regions are extracted based on the multi-element mode distance between fine activity modes in partial cerebral regions for the pretreatment of an fMRI image; a partial consistent cerebral region is obtained by clustering; the combined activities of a plurality of tissues inside the partial consistent cerebral region are used for constructing the multi-element mode; the multi-element distance function is constructed by a mode sorting method to measure the separable characters of the partial cerebral region motion under different stimulation conditions, so as to judge whether the cerebral region is activated or not. The present invention indicates the cerebral motions under different stimulation conditions by multi-element mode information formed by multiple tissues inside the partial cerebral region directly, the multi-element mode can reflect the partial cerebral motion state over all, and multi-element statistical distance can be effectively integrated with the information in the partial cerebral region to measure the difference between different cerebral activate states, so the multi-element mode and the multi-element statistical distance ensure that the arithmetic of the present invention can detect the fine cerebral action mode more completely than the traditional fMRI analyzing technology.

Description

A Method for Extracting Brain Activation Regions in Magnetic Resonance Imaging Based on Pattern Recognition Classification technical field The invention belongs to the technical field of neuroimage data analysis, in particular to an algorithm for extracting fMRI activation regions in magnetic resonance imaging, and in particular to using a multiple pattern recognition method for fMRI brain activation regions. Background technique Functional Magnetic Resonance Imaging (fMRI) has been widely used in the study of human brain function due to its high temporal and spatial resolution and non-invasive characteristics. fMRI generally refers to fMRI imaging based on blood oxygen level-dependent (BOLD), which reflects brain activity by measuring changes in magnetic resonance signals caused by changes in cerebral blood flow and cerebral blood oxygen caused by neural activity. With the rapid increase of experimental data in recent years, reasonable and effective fMRI data analysis tec...

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Problems solved by technology

Therefore, a large amount of fine information will be filtered out, and the high spatial resolution information provided by fMRI is still far from being utilized

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