Method for segmenting blood vessel in digital subtraction angiography (DSA) image sequence
An angiography and image sequence technology, applied in the field of medical imaging, can solve the problems of time-consuming, subjective judgment, and error-prone
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[0023] 1) Background denoising
[0024] Due to the uneven exposure of X-rays, there are large bright spots on the contrast images, and these bright spots move with the image changes in the image sequence, and these bright spots have a great impact on the background separation algorithm. The purpose of background denoising is to remove bright spots on these contrast images. Here we use nonlinear filtering to remove bright spots. The main steps are as follows: First, calculate the average gray level of the entire image for each image in the contrast image sequence, which is recorded as In_average. Secondly, all the pixels are divided into two categories according to the average gray size, the pixels smaller than In_average are class 1, and the pixels larger than In_average are class 2. Calculate the average gray level of pixels in class 2, denoted as In_average2. For pixels whose grayscale exceeds In_average2, set their grayscale to In_average2. In this way, you get Figure...
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