Comprehensive analytical method for predicting early-stage Parkinson's disease

Abstract

A comprehensive analytical method for predicting early-stage Parkinson's disease comprises the following steps: S1, reading diffusion weighted magnetic resonance data DW-MRI, carrying out noise reduction and pre-smoothing processing on all the data, carrying out modeling and imaging and fiber tracking by applying diffusion tensor imaging and high angular resolution diffusion imaging technologies to acquire voxel fiber direction information, and calculating six types of brain fiber variation analysis index data; S2, extracting and marking special brain region voxel information, selecting a continuous region as a midbrain substantia nigra region by virtue of setting a threshold value of an anisotropic fraction, and then screening and extracting the index data in interested regions; and S3, carrying out comprehensive analysis by applying a SPSS analytical tool according to the six types of brain fiber variation analysis index data obtained by the step S2 to obtain a fiber variation result on the midbrain substantia nigra regions of a testee and a normal person so as to predict the sickness status of the testee. The method provided by the invention is high in resolution and accurate and reliable.

Description

technical field [0001] The present invention relates to the fields of image processing, medical imaging, calculation methods, mathematics, non-medical disease diagnosis, neuroanatomy, etc., especially the method for comprehensively analyzing early Parkinson's disease brain fiber differences and disease prediction. Background technique [0002] Parkinson's disease is a neurodegenerative disease, and its pathological research has always been a hot spot in the medical field. Parkinson's disease is mostly caused by the loss of dopamine-containing neurons in the substantia nigra region of the midbrain. Today's research methods for Parkinson's disease are mainly through chemical drug experiments and clinical medical observations. For example, Burns et al. found that N-methyl-4-phenyl -1,2,3,6-tetrahydropyridine (NMPTP) can reduce the release and accumulation of dopamine, brain-derived neurotrophic factor (BDNF) affects the survival of dopamine-containing neurons, HLA-DR positive r...

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Problems solved by technology

[0005] In order to overcome the shortcomings of the existing methods of auxiliary prediction of Parkinson's disease, such as cumbersome steps, large method angle error, low resolution, and single analysis index, the present invention provides a high-resolution, accurate and reliable method for early Parkinson's disease prediction. comprehensive analysis method

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