Fully-automatic three-dimensional liver segmentation method based on local apriori information and convex optimization
A priori information, 3D liver technology, applied in the field of medical image processing, can solve the problems of under-segmentation and low accuracy of liver edge segmentation
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[0049] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments:
[0050] The following embodiments may enable the professionals in the field to understand the present invention more comprehensively, but do not limit the present invention in any way.
[0051] Such as figure 1 As shown, the automatic three-dimensional liver segmentation method based on local prior information and convex optimization is used to segment the liver in the computed tomography angiography image. The specific steps are:
[0052] 1. The size of the input liver CTA scan image I is 512×512×245, adjust the window width and window level to make the liver gray range between 0 and 255. The image is tested in the trained convolutional neural network, and a probability map L with the same size as the original image is obtained. In the probability map, the probability L(x) of each point belonging to the liver in a given image is in the range of [0.1, 0...
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