Method and device for extracting skeletons of brain CT (computerized tomography) image

Abstract

The application discloses a method and device for extracting skeletons of a brain CT (computerized tomography) image. The method comprises the steps of: carrying out grey mapping on pixel points of an original brain CT image to obtain a corresponding grey column diagram, and acquiring a first preset division threshold according to the grey column diagram; calculating a background pixel grey threshold according to the first preset division threshold, and removing background pixel points in the original brain CT image according to the background pixel grey threshold to obtain a pre-processed brain CT image; calculating a skeleton threshold based on the pre-processed brain CT image; and searching all pixel points of which the grey values are larger than or equal to the skeleton threshold in the pre-processed brain CT image, and extracting the image corresponding to the pixel points, wherein the image represents brain skeletons of the brain CT image. By applying the invention, the skeleton extraction error caused by carrying out empirical value setting on the skeleton threshold in advance is avoided; in addition, the method and device disclosed by the application can be used for extracting the image of brain skeletons within short time and do not bring negative influence to operation speed of integral algorithm.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for extracting bones from brain CT images. Background technique [0002] CT is a full-featured disease detection instrument, which is the abbreviation of computerized X-ray tomography. CT images are expressed in different gray scales, reflecting the degree of absorption of X-rays by organs and tissues. Therefore, like the black-and-white images shown in X-ray images, black shadows indicate low-absorption areas, that is, low-density areas, such as lungs; white shadows indicate high-absorption areas, that is, high-density areas, such as bones. Although the difference in density of human soft tissue is small, although the absorption coefficient is much closer to that of water, it can also be imaged by contrast. This is the outstanding advantage of CT. Therefore, CT can better display the organs composed of soft tissues, such as the brain, spinal cord, medias...

AI Technical Summary

Problems solved by technology

[0008] from figure 2 It can be clearly seen in the figure that the gray value distribution range of the pixels of the two CT images that are also brain tissue is very different. If the bone threshold range is set in advance to remove the brain bone tissue, an error will occur. That is, it is possible to leave images that should be brain bones, or remove images that should not be brain bones

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