Blood vessel center line automatic extraction method and device

Abstract

The embodiment of the invention provides a blood vessel center line automatic extraction method and device, and the method comprises the steps of obtaining an original image comprising a blood vessel structure, carrying out the multi-scale and multi-direction filtering on the original image based on the convex symmetry, and obtaining a center line enhanced image; based on the center line enhanced image, obtaining a set of seed points with confidence meeting a preset condition through a non-maximum suppression method, and constructing a high-confidence seed point set; by the preset rules, sequentially selecting the seed points in the high-confidence seed point set; and searching a multi-branch center line structure of a tubular structure by using a backtracking path propagation-based minimum path method in combination with the center line enhanced image to obtain an initial center line structure of the original image, and repairing the initial center line structure by using a key point detection-based minimum path method to obtain a complete center line of the original image, so that a large number of requirements for the seed points in the multi-branch structure extraction based on the minimum path method are avoided.

Description

technical field [0001] Embodiments of the present invention relate to the field of image processing, and in particular to a method and device for automatically extracting a blood vessel centerline. Background technique [0002] Tubular structures appear in images in various fields, such as coronary vessels in medical images, retinal vessels, road structures in aerial images, etc. In medical images, the analysis of tubular structures is a necessary link in understanding vascular lesions and describing vascular diseases, among which, the extraction of the centerline of tubular structures is a very important research content. The centerline can represent the topology of the vascular network, and its completeness and accuracy affect the validity and robustness of various applications. [0003] Since the centerline of the tubular structure can completely express the topology of the tubular structure, the automatic extraction technology of the vascular centerline has been widely ...

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Problems solved by technology

However, tubular structures usually have complex topological structures and large changes in radius scales, and their imaging images often have problems such as noise, uneven gray scale, complex background, low contrast and low resolution, which lead to difficulties in accurately extracting the centerline of tubular structures. huge challenge

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