Automatic rapid visualization method for resting state brain function connection

Abstract

The invention relates to an automatic rapid visualization method for resting state brain function connection. According to the invention, through analysis of brain functional magnetic resonance imaging data, functional images are automatically acquired, and data analysis is automatically completed; and brain network connection strength information obtained through analysis is automatically returned to PACS, so a user can conveniently retrieve and read the brain network connection strength information at any time. The automatic rapid visualization method provided by the invention makes up a technical support blind area of conventional medical magnetic resonance scanning equipment, and enriches biological information indexes for medical technicians to refer to, so the comprehensiveness and objectivity of a clinical diagnosis or intervention evaluation link are improved.

Description

technical field [0001] The invention belongs to the technical field of neuroimaging diagnosis, and relates to an automatic and rapid visualization method of resting-state brain functional connection. Background technique [0002] Brain functional magnetic resonance imaging is an important means to explore the mechanism of brain function. Based on the local signal changes dependent on the blood oxygen level (BloodOxygen Level Dependent), we can examine the internal activities of different regions of the brain and the changes in the strength of functional connections between regions under various pathological conditions (such as stroke), thereby providing a basis for relevant science. Research and medical diagnosis provide the necessary biomedical evidence. [0003] At present, although functional imaging data can be collected on the mainstream MRI scanning equipment equipped in various hospitals, the diagnosis and intervention evaluation of clinicians mainly rely on structur...

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Problems solved by technology

[0003] At present, although functional imaging data can be collected on mainstream MRI scanning equipment equipped in various hospitals, the diagnosis and intervention evaluation of clinicians still mainly rely on structural imaging, which makes many structures without organic lesions but behavioral function Cases showing significant impairment (such as impairments in speech, motor, sensory, memory, and emotional regulation due to microbleeds or psychiatric causes) are relatively difficult to diagnose and evaluate comprehensively and objectively

[0004] An important reason for this problem is the complexity of the analysis of fMRI data and the non-intuitive nature of the results.

In addition, due to the high requirements for computer hardware and long post-processing time (average 2-3 days / case) in the analysis process of brain fMRI data, it also greatly limits its application in clinical daily diagnosis and treatment.

The professional training of general clinical and radiologists comes from the field of basic medicine. Such professional background usually does not include digital signal analysis in the field of biomedical engineering; and the magnetic resonance equipment itself only provides original images. However, there is a lack of necessary technical support for functional evaluation that can only be carried out after post-processing

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