Real-time functional magnetic resonance data processing system based on brain functional network component detection

Abstract

The invention provides a real-time functional magnetic resonance data processing system based on brain functional network component detection, which realizes real-time network analysis of brain functional magnetic resonance images obtained on line. The system comprises a data preprocessing module, a functional network detection and display module, a region-of-interest selection module, a data feedback module and a parameter configuration module, wherein the data preprocessing module is used for improving the signal to noise ratio of the data by image denoising, artifacts removing, etc after carrying out online reading and format conversion on the brain functional magnetic resonance images and for reducing the interference of noises and other factors in the magnetic resonance images; then the functional network detection and display module is used for carrying out real-time network analysis and extracting the functional network components of brain activity in specific state; the region-of-interest selection module is used for recording and saving the activity conditions of one or more node regions of interest in the network; the data feedback module is used for feeding the result data of the regions of interest back to the persons to be tested in real time according to different application requirements or by various ways or judging the result data by categories; and the parameter configuration module is used for providing parameter setting, reading and saving functions for each module and each unit contained by the invention. The system has important application values in multiple fields such as online estimation of quality of data, mind reading, brain function adjustment, clinical treatment, etc.

Description

technical field [0001] The invention provides a real-time functional magnetic resonance data processing system based on the detection of brain functional network components, which belongs to the field of information processing technology, and specifically refers to the real-time processing of network analysis for brain magnetic resonance functional images acquired online, and extracts the brain in a specific state. Active functional network components, while allowing participants to observe the activities of network nodes online. The invention can be applied to multiple fields such as data quality assessment, mind interpretation, brain function regulation, and clinical treatment. Background technique [0002] How to read the human mind from the activity patterns of the brain? How to control the activity pattern of the brain to adjust and improve people's perception or cognitive ability? This is one new question after another raised by human beings trying to "understand, tr...

AI Technical Summary

Problems solved by technology

[0004] Although real-time functional magnetic resonance has begun to be applied in the above-mentioned fields, the existing real-time functional magnetic resonance is only applied to the activation analysis of specific brain regions under specific task states, and its function

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