A left ventricle inner and outer membrane automatic segmentation method, system and equipment
A technology for automatic segmentation and left ventricle, applied in image analysis, image data processing, instruments, etc., can solve the problems of accuracy and time performance to be improved, and achieve the effect of good stability, universal applicability and high accuracy
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[0130] Adopt the method described in the present invention to extract the left ventricular endocardium, then use the official algorithm evaluation code provided by the MICCAI2009 database to evaluate the segmentation effect. The evaluation index used is the above-mentioned Good Detect percentage, referred to as Good and Overlap in the following tables. Data format: mean (Mean) and standard deviation (SD). Table 3-1 is a comparison between the algorithm in this paper and Lu's algorithm. The research object is 15 cases in the data source, and the compared data is the good detection rate of the endocardium obtained by the segmentation of the two algorithms. The effectiveness and accuracy of the algorithm are reflected by a good detection rate. It can be seen from Table 3-1: the good detection rate obtained by using Lu's algorithm is: 72.45±18.86%; the good detection rate obtained by using this algorithm is: 82.29±16.47%. High robustness.
[0131] Table 3-1 Comparison of detect...
Embodiment 2
[0138] The watershed algorithm based on marker control was used to extract the left ventricle epicardium contour from 15 cases of MICCAI2009 data source, and the segmentation results were analyzed and compared. Figure 16 It is an example of the segmentation result of the epicardial contour in the diastolic image of a case of myocardial enlargement (SC-HYP-06) using the watershed algorithm based on marker control. Each diastolic MRI shows two images, the binary image of the region of interest on the left and the segmentation result on the right. The solid lines are the gold standard of the adventitia, our automatically segmented contours, and the inner and outer markers, respectively. For cases of myocardial enlargement, compared with other images, external markers cannot be extracted directly based on empirical values, so this type of image is processed separately, and the range of external markers is appropriately expanded to avoid excessive indentation of the extracted epic...
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