Multi-atlas dividing method for low-resolution medical image
A low-resolution image and high-resolution image technology, applied in the field of multi-spectrum segmentation of low-resolution medical images, can solve the problems of unguaranteed target image quality, low-resolution target images, etc., and improve the segmentation accuracy is not high , Improve the effect of segmentation accuracy
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[0031] The multi-atlas segmentation method of low-resolution medical images includes the following steps:
[0032] Step 1: Given low-resolution target image I d , N high-resolution atlas images A i =(I i ,L i ),i=1,2,...,N, where I i Represents the i-th grayscale image, L i Represents the label image corresponding to the i-th grayscale image, and assumes that the target image I d And atlas image A i =(I i ,L i ), i=1,2,...,N, all have been linearly registered to the same template space;
[0033] Step two, segmentation object area cutting:
[0034] Such as figure 1 As shown, in order to reduce the computational workload, first cut a region containing the segmented object. Since the target image I d And atlas image A i =(I i ,L i ), i = 1, 2,..., N, have been linearly registered to a template space, so the position of the segmentation object in each image is roughly the same, scan all the atlas images A i =(I i ,L i ), i=1,2,...,N, the label image (that is, scan all the segmentation re...
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