Method for segmenting aortic-valve ultrasound image sequence based on interframe-shape-constraint GCV model
An aortic valve and ultrasound image technology, which is applied in the field of medical ultrasound image segmentation, and can solve the problems of severe overflow and incomplete segmentation of aortic valve ultrasound images.
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[0035] The present invention will be further described below in conjunction with the accompanying drawings and a specific example.
[0036] This example is in Dual-Core CPU E5800 3.20GHz, graphics card is NVIDIA GeForce GT430NVIDIA GeForce GT430, memory is 2.00GB, the operating system is Window XP, and the whole segmentation method is written in C++ and Matlab language.
[0037] The procedure of this method is as follows figure 1 The steps shown are performed:
[0038] (1) Acquire a set of continuous ultrasound image sequences of the aortic valve, and extract the fan-shaped area of each frame, such as figure 2 (a), the threshold of the non-sector area is 255; then Wiener filtering is performed on the image acquired in each frame, and the filtered result is as follows figure 2 (b).
[0039] After the Wiener filtering process, the speckle noise in the ultrasound image can be removed, and the edge information can be well preserved.
[0040] (2) Build the GCV model:
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