Method for extracting centerline of tubular object

Abstract

The invention discloses a method for extracting a centerline of a tubular object, which comprises the following steps of: S1: receiving an order inputted by a user; depending on the order, generating a line frame for selecting a local region of an image; S2: analyzing the line frame with a tubular object in the local region, and acquiring at least two intersection points of the two bodies; S3: selecting a bigger characteristic value from the intersection points as a starting point of the centerline; S4: searching in other intersection points by a search algorithm, and finding out all points forming the centerline until finding an ending point of the centerline; and S5: depending on the starting point, the points of forming the centerline and the ending point, obtaining the centerline of the tubular object in the local region. According to the method for extracting the centerline of the tubular object, the local region of the image is selected depending on the line frame which is provided by the user and the centerline is extracted depending on the intersection points of the line frame with the tubular object in the local region, and the starting point of the centerline is not artificially designated by the user, therefore, the problem that the centerline is not accurately extracted due to an error caused by designating the starting point is solved.

Description

【Technical Field】 [0001] The invention relates to the technical field of digital image processing, in particular to a method for extracting the centerline of a tubular object. 【Background technique】 [0002] With the development and progress of modern science and technology, the application of medical imaging technology is becoming more and more extensive, and it is favored by more and more doctors and accepted by more and more patients. Contrast images are often used by doctors as a reference for the diagnosis of clinical diseases and the formulation of treatment plans. Due to the influence and constraints of doctors' subjective factors, it is not enough to analyze and judge the contrast images based on the doctor's clinical experience and vision. It has become an inevitable trend to use the efficiency and accuracy of computers to quantitatively analyze contrast images. In clinical practice, doctors hope to obtain quantitative analysis results by analyzing the blood vessel segm...

AI Technical Summary

Problems solved by technology

[0006] The above-mentioned existing technologies all require the user to specify the starting point of the centerline on the target object. Since the proportion of the tubular object in the image to the entire image is relatively small, sometimes the contrast between the target object and the background is low, and there are problems such as noise in the image. , so that the target object is not easy to be directly identified by the eyes, these may cause errors in the starting point on the target object specified by the user, make the starting point on a non-target object or deviate from the center line, resulting in inaccurate center line extraction

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