Device and method for detecting and quantifying coronary artery calcification in enhanced CT images
A CT image and quantification method technology, applied in the field of medical image data processing, can solve problems such as difficulty, cumbersome training process, and inaccurate algorithm detection and quantification results
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[0083] The present invention proposes a fully automatic calcified plaque detection, segmentation and quantification method based on fuzzy superpixel clustering in CTA data. Firstly, the low threshold region growth automatically selected by the seed point is used to obtain the coronary artery region containing calcified plaque; and then According to the Euclidean distance between the pixels in the region, the gray difference uses the fuzzy C-means clustering algorithm to divide the above blood vessel region into a limited number of superpixel sets; finally, a threshold selection method based on the gray histogram is used to select the superpixel set Screening is carried out to obtain the final calcified plaque detection and quantification results, and the calculation of vascular calcification scores is completed based on the segmentation results.
[0084] An automatic method for detecting and quantifying calcified plaque in CTA data, the method comprising:
[0085] Step 1. Afte...
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