Coronary artery segmentation method and device based on multi-slice combination
A coronary artery and multi-slice technology, applied in the field of coronary artery segmentation based on multi-slice combination, can solve problems such as inaccurate segmentation results of three-dimensional cardiovascular images, and achieve the effect of improving segmentation accuracy and accuracy
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Embodiment 1
[0050] This embodiment provides a coronary artery segmentation method based on multi-slice combination, such as figure 1 As shown, the method includes the following steps:
[0051] S1: acquiring a three-dimensional cardiovascular image;
[0052] The three-dimensional cardiovascular images are obtained by CT or MRI techniques. Both CT and MRI techniques are non-invasive imaging techniques with high safety.
[0053] S2: Perform slice processing on the three-dimensional cardiovascular image to obtain two-dimensional slices;
[0054] Construct the largest circumscribed cuboid for the three-dimensional cardiovascular image, the size of which is a*b*c, where a, b, and c are the length, width, and height values of the largest circumscribed cuboid of the three-dimensional cardiovascular image; the maximum circumscribed cuboid of the three-dimensional cardiovascular image The cuboid is placed in the three-dimensional coordinate system, sliced in the Z-axis direction, and a two...
Embodiment 2
[0087] This embodiment provides a coronary artery segmentation device based on multi-slice combination, such as Figure 4 As shown, the device includes:
[0088] An image acquisition module, configured to acquire a three-dimensional cardiovascular image;
[0089] A slicing module, configured to perform slicing processing on a three-dimensional cardiovascular image to obtain a two-dimensional slice;
[0090] The combined training module is used to combine the two-dimensional slices with m kinds of combinations, and then input them into the segmentation model for training to obtain m trained segmentation models;
[0091] A model integration module is used to integrate m trained segmentation models to obtain an integrated segmentation model;
[0092] The image input module to be segmented is used to perform slice processing on the three-dimensional cardiovascular image to be segmented to obtain a two-dimensional slice of the three-dimensional cardiovascular image to be segmente...
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