The present application relates to a coronary artery image segmentation method and apparatus, a computer device and a storage medium. The method comprises the following steps of: acquiring a coronarytrunk centerline in an initial image; Segmenting the initial image to obtain a coronary artery mask; Generating a coronary centerline skeleton and a distance field according to the coronary trunk centerline and the coronary artery mask; taking A pixel point of the coronary centerline skeleton as a seed point, and performing region growing in the distance field to obtain a coronary artery image. Combined with the region growth of the initial image, it can make the edge segmentation more sufficient, and make the extraction of coronary contour more accurate. And through the constraint of distancefield, it can prevent the leakage in the process of regional growth, and further improve the accuracy of coronary contour extraction.

Coronary artery image segmentation method and apparatus, compute device, and storage medium

The invention relates to a blood vessel image recognition method and device, computer equipment and a storage medium. The method comprises the steps of obtaining initial boundary pixel points based ongray values of pixel points in an initial blood vessel image; Constructing a threshold curved surface by taking the initial boundary pixel point as a boundary condition based on a preset stable temperature field model; Identifying the initial blood vessel image according to the threshold curved surface to obtain an identified blood vessel image; Carrying out binarization processing on the identified blood vessel image; And identifying a target area in the blood vessel image after binarization processing, and obtaining a target blood vessel image according to the target area. According to themethod, threshold curved surfaces with different thresholds are selected based on different regions; The blood vessel image is recognized, the defect that the blood vessel image recognized through a single threshold value is large in segmentation error is avoided, it is guaranteed that the edges of the recognized blood vessel image and the background image are clear, therefore, the recognition error is reduced, and the blood vessel recognition accuracy is further improved.

Blood vessel image recognition method and device, computer equipment and storage medium

The invention provides a blood vessel segmentation method and device and electronic equipment, and the method comprises the steps of obtaining a target region which comprises a to-be-segmented region;determining blood vessel candidate pixel points based on a preset blood vessel model and a fuzzy clustering algorithm; extracting a first blood vessel according to the blood vessel candidate pixel points; extracting second blood vessels based on the first blood vessels, and the density of the first blood vessels is larger than that of the second blood vessels; and combining the first blood vesseland the second blood vessel to obtain a blood vessel segmentation result. According to the invention, the influence of other tissues with similar blood vessel characteristics on blood vessel segmentation can be effectively reduced, and the influence of blood vessel characteristics on blood vessel segmentation can be effectively reduced. The invention can improve precision of blood vessel segmentation.

Blood vessel segmentation method and device and electronic equipment

The embodiment of the invention provides a blood vessel segment central path extraction method and device, a terminal device and a storage medium. The blood vessel segment central path extraction method comprises the following steps: acquiring a CTA image, and position information of a starting point and a terminating point of the blood vessel section input by a user; determining a mask image according to the CTA image, determining a source distance field value of each voxel point in the mask image relative to a source point according to the mask image, and the source point being the startingpoint or the ending point; determining a shortest path between the starting point and the terminating point according to the position information of the starting point, the position information of theterminating point and the source distance field value of at least one voxel point relative to the source point; correcting the shortest path by using the tubular model and the CTA image to obtain each corrected central point; and determining the central path of the blood vessel section according to the corrected central points. According to the embodiment of the invention, rapid extraction of thecentral path of the target blood vessel section can be realized.

Blood vessel section center path extraction method and device, terminal device and storage medium

The invention provides a blood vessel image processing method. The method comprises the following steps: obtaining an original blood vessel image to be processed, wherein the original blood vessel image comprises a blood vessel region and a non-blood vessel region; performing gray level suppression on the non-blood vessel region in the original blood vessel image to obtain a suppression image; enhancing the blood vessel region in the suppression image to obtain an enhanced image; obtaining a mask structure and a segmentation structure of the blood vessel region in the enhanced image; and obtaining a target blood vessel from the enhanced image according to the mask structure and the segmentation structure. The invention further provides a blood vessel image processing apparatus and a storage medium. By adoption of the blood vessel image processing method and apparatus, the computer device and the storage medium provided by the invention, the gray level suppression is performed on the non-blood vessel region in the original blood vessel image, the blood vessel region is enhanced to obtain the enhanced image, and then the target blood vessel is accurately obtained from the enhanced image according to the mask structure and the segmentation structure, so that the accuracy of extracting the blood vessel from the blood vessel image is improved.

Blood vessel image processing method and apparatus, computer device and storage medium

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Blood vessel image processing method and apparatus, computer device and storage medium