Automatic diagnosis device for infantile autism

Abstract

The invention discloses an automatic diagnosis device for infantile autism, and belongs to the technical field of medical image processing. The device comprises a user setting module, a data input and preprocessing module, a brain network construction module, an autism detection module and an output module. The user setting module is used for configuring a brain network type on which detection of the automatic diagnosis device is based and outputting a display information item and a display mode; the data input and preprocessing module is used for inputting a magnetic resonance image by a user and carrying out image preprocessing on the input image; the brain network construction module is used for constructing and storing a topological graph of a brain network matched with a network type set by the user; the infantile autism detection module reads the brain network topological graph and intelligently judges the infantile autism based on the network brittleness, a detection result is obtained and related visual display output is carried out through the output module, and therefore auxiliary diagnosis assistance is provided for infantile autism diagnosis.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and in particular relates to a device for diagnosing autism based on magnetic resonance image processing. Background technique [0002] Autism is a relatively common mental disorder, which is a subtype of pervasive developmental disorder. The symptoms of this disease are mainly manifested in different degrees of language development disorders, interpersonal communication obstacles, narrow interests and rigid behaviors, and Intellectual disability, etc. The incidence of the disease is not uncommon in our country, but until now, there is still no good way to diagnose autism. At present, most of the diagnosis of autism is through the doctor's usual growth and development history, medical history and mental examination of the child, and referring to the currently internationally recognized autism diagnostic standard DSM-5 for disease diagnosis. This requires particularly high clini...

AI Technical Summary

Problems solved by technology

Based on the magnetic resonance images of the human brain, the corresponding brain network structure can be constructed, and the network analysis after the network construction is completed is another key issue. The research on the brittleness of complex networks is a relatively hot direction in current network analysis. , and there have been related analyzes that apply brittleness analysis to the analysis of complex networks such as road traffic and communication networks, but in the current brain network research, there is no literature that has proposed relevant results for the study of brain network brittleness.

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