Blood vessel segmentation method combining global and neighborhood information
A technology of neighborhood information and blood vessels, applied in the fields of medical image processing and artificial intelligence, can solve the problems of reducing segmentation ability, redundancy, and rupture of small blood vessels in the brain, and achieve the effects of improving performance, reducing losses, and reducing fractures
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[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further explained below in conjunction with specific implementation and accompanying drawings.
[0032] refer to Figure 1 ~ Figure 3 , a blood vessel segmentation method combining global and neighborhood information, which can optimize the extraction of feature information and reduce the loss of image information, including the following steps:
[0033] Step 1 data preprocessing
[0034] The cerebrovascular system generally accounts for a relatively small proportion of the intracranial volume (about 1% to 5%), and the performance of FMM largely depends on the fitting of the background area (that is, the non-vascular area). The fitting dependence of . At the same time, retaining a large area of background in the data will also cause a computational burden and affect the processing time of the model; therefore, skull culling and bias field co...
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