Resting brain function connected region detecting method based on affine clustering
A connected area and detection method technology, applied in the field of resting brain functional connected area detection based on affine clustering, can solve problems such as limiting the detection of functional connected areas, and achieve the advantages of shortening execution time, accurate positioning detection, and enhancing detection intensity. Effect
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[0035] The present invention will be further elaborated below by describing a preferred specific embodiment in detail in conjunction with the accompanying drawings.
[0036] like figure 1 As shown, a method for detecting functionally connected regions of the resting brain based on affine clustering, the detection method includes the following steps;
[0037] Step 1, obtaining a sparse approximate data set of a single fMRI signal;
[0038] Step 1.1, perform three-layer one-dimensional wavelet packet decomposition on each time point data of fMRI data, and obtain the corresponding wavelet tree of each time point data, wherein the wavelet base used for wavelet packet decomposition is (Daubechied, abbreviated as db ) family of db2 wavelet bases;
[0039] Step 1.2. Use the distance measure norm based on the normed linear space to measure the sparsity of each wavelet tree node, so as to obtain the sparsity quality vector of each node, so that the sparsity quality vector satisfies t...
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