Method for three-dimensionally segmenting insubstantial pulmonary nodule based on fuzzy membership model
A technology of fuzzy membership degree and pulmonary nodules, which is applied in the field of medical image processing, can solve the problems of low segmentation accuracy and achieve the effect of low error volume percentage and high coincidence rate
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[0031] Such as figure 1 Shown operating process schematic diagram, the specific implementation steps of the present invention are as follows:
[0032] 1. Input chest CT sequence images in DICOM format containing non-substantial pulmonary nodules;
[0033]2. Obtain the three-dimensional region of interest D1 through manual operation. Since chest CT images contain a large number of pixels in non-nodular areas, in order to reduce image storage space and processing time, only the approximate area containing nodules needs to be intercepted here. The following methods can be used: According to the gold standard provided by radiologists, manually determine The center c of the region of interest and the maximum possible radius r of the nodule, the cube obtained with c as the center point and 2r as the side length is the three-dimensional region of interest D1;
[0034] 3. Perform a threshold operation on D1 to remove the highlighted substantive part to obtain image D2. The voxels ...
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