Brain image-based evaluation method and neuropsychiatric disease evaluation system

Abstract

The invention relates to a brain image-based evaluation method and a neuropsychiatric disease evaluation system. The system comprising a storage module in which first to third determination models corresponding to grey matter, white matter and spinal fluid, respectively, are stored, a transmission module, an azimuth angle correction module, a brain tissue recognition module, and a brain tissue recognition module. The azimuth angle correction module is connected with the transmission module so as to receive a 3D brain image to be judged to correct the 3D azimuth angle of the center of the 3D brain image to be judged; the brain tissue recognition module is used for receiving the corrected 3D brain image to be judged and capturing a white matter image part to be judged, a grey matter image part to be judged and a spinal fluid image part to be judged; the processing module feeds white matter, grey matter and spinal fluid image parts of a 3D brain image to be judged into the first to third judgment models after dimension reduction, first to third judgment results are obtained after calculation, and an evaluation result is generated according to the first to third judgment results.

Description

technical field [0001] The present invention relates to the evaluation of neuropsychiatric diseases, in particular to a method and system for evaluating neuropsychiatric diseases based on brain images. Background technique [0002] With the competitive pressure brought by the rapid economic development, patients suffering from mental illnesses such as Schizophrenia (also known as schizophrenia), bipolar disorder (Bipolar), depression (Depression) and other mental diseases in various countries around the world has increased year by year. In addition, the aging population in the world also increases the number of people suffering from neurodegenerative diseases such as Dementia and Parkinson's Disease year by year. At present, these neuropsychiatric diseases mainly rely on the observation records of patients' behavioral performance and the clinical experience of neuropsychiatrists to conduct qualitative analysis for diagnosis. However, due to the varying degrees of character...

AI Technical Summary

Problems solved by technology

However, since there is varying degrees of overlap between the cognitive or behavioral manifestations of various neuropsychiatric disorders, relying solely on the patient's symptoms or behavioral manifestations is significantly underdiagnosed

Images