Dynamic range conversion based medical image window width/level display method
A dynamic range and medical image technology, applied in the field of medical image processing, can solve the problems of missing part of image information, loss of image information, and insufficient reflection of the importance of different grayscale intervals, etc.
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Embodiment 1
[0028] Such as figure 1 As shown, it is a flow chart of a method for displaying the window width and level of medical images based on dynamic range conversion disclosed in the embodiment of the present invention. The method includes:
[0029] Step S101: According to prior knowledge or through calculation, a weight function representing the importance of image pixel values is given.
[0030] Suppose the pixel value of the original display image is x, x can be any pixel of the original display image, and the weight function is a unary function w(x) about x, where w(x)≥0. w(x) is given by prior knowledge or calculation, and for the pixel value x appearing in the image, w(x)>0 is required.
[0031] Step S102: According to the probability density function and weight function of the original display image, construct a dynamic range conversion function that is strictly monotonically increasing on the set of pixel values with non-zero probability density.
[0032] Let p(x) be th...
Embodiment 2
[0039] In order to illustrate the implementation steps intuitively, we use simplified images for illustration, figure 2 It is a simplified grayscale image with non-zero pixel values x∈{10,11,12,13,255}, where the pixel value of the triangle area is 10, the pixel value of the regular hexagonal area is 11, and the pixel value of the parallelogram area The value is 12, the pixel value of the rectangular area is 13, and the pixel value of the background area is 255. We can imagine that in actual medical images, these geometric regions represent different densities of human tissue imaging. figure 2 and image 3 It can be seen that the pixel values in these areas are relatively close, and human eyes cannot distinguish such a small difference in grayscale, and the color differences in these areas cannot be visually reflected, that is, the contrast in these areas is very inconspicuous, and it seems almost the same. Take the following steps to process:
[0040] (1) According ...
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