Brain volume atrophy prediction method based on brain function network
A technology of brain function network and prediction method, applied in the field of brain volume atrophy prediction
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[0027] In order to make the technical problems and technical solutions to be solved by the present invention clearer, the following will describe in detail with reference to the accompanying drawings and specific implementation examples.
[0028] like figure 1 As shown, a method for predicting brain volume atrophy based on the brain function network of the present invention, the specific steps in the implementation case are as follows:
[0029] Step 1, processing of functional image data, analysis of functional data and calculation of brain volume;
[0030] Perform rectification, registration, normalization, and smoothing on functional image data. Extract the activated pixels from the functional data to obtain the BOLD time series E of each node i (t). In this example, there are 264 nodes in total, and the BOLD time series has a total of 300 sampling points, where i=1,2,...,264, t=1,2,...,300. The brain structure image was segmented into gray matter, white matter and cereb...
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