Method and device for determining tubular tissue region of interest, equipment and medium

Abstract

The embodiment of the invention discloses a method and a device for determining a tubular tissue region of interest, equipment and a medium. The method comprises the following steps: acquiring a three-dimensional tubular tissue image of a current user; wherein the three-dimensional tubular tissue image is expanded along a tubular tissue center line to obtain at least one two-dimensional tubular tissue image corresponding to the current user; and outputting a region of interest position of at least one two-dimensional tubular tissue image corresponding to the at least one two-dimensional tubular tissue image according to the at least one two-dimensional tubular tissue image. According to the embodiment of the invention, through obtaining a three-dimensional tubular tissue image of a currentuser, and after at least one two-dimensional tubular tissue image is obtained by expanding along the central line of the tubular tissue, the two-dimensional tubular tissue image is input into a pre-trained classifier to output the position of the region of interest of the corresponding two-dimensional tubular tissue image, so that the determination method of the region of interest of the tubulartissue is simpler, and the measurement and size evaluation of the region of interest of the tubular tissue are more accurate.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of medical imaging, and in particular to a method, device, device and medium for determining a region of interest in tubular tissue. Background technique [0002] Tubular tissue is the vertical and horizontal connection of cells with the same nature in higher plants, and the partition wall between cells disappears, and the thin tubular tissue formed by interpenetration is the passage of water, such as blood vessels and trachea. The detection of vascular diseases in medical images has always been a topic of great concern to medicine, especially for coronary artery calcification and plaque detection, which is of great significance to the diagnosis of heart disease. [0003] Taking blood vessels as an example, in the past few years, with the development and maturity of vascular imaging technology, especially after the heart 64-slice CT gradually occupied the market, many plaque detection t...

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Problems solved by technology

[0004] The problem with this type of vascular plaque detection method at present is that the outer wall of the blood vessel is very difficult to determine, and doctors often need to edit the inner and outer contours of the blood vessel on the cross section, especially when the blood vessel is long and the cross section taken along the centerline The number is very large, and editing is time-consuming and laborious

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