Method and system for acquiring descending aorta based on CT sequence images
A technology of descending aorta and sequence images, which is applied in the details, image analysis, image enhancement and other directions involving 3D image data, to achieve the effect of accurate image processing, easy operation and scientific design
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Embodiment 1
[0075] In order to solve the above problems, the present application provides a method for acquiring descending aorta based on CT sequence images, such as figure 1 shown, including:
[0076] S1000, acquiring three-dimensional data of CT sequence images, including:
[0077] S2000, obtain the center of gravity of the heart and the center of gravity of the spine according to the three-dimensional data;
[0078] (1) If figure 2 shown, get the center of gravity P of the heart 2 methods include:
[0079] S2100, draw a grayscale histogram of the CT image;
[0080] S2200, along the direction from the end point M to the origin point O of the grayscale histogram, sequentially acquire points M to M-1, and M to M-2, until the volume of each gray value region from point M to point O is acquired ;
[0081] S2300, obtaining the volume ratio V of the volume of each gray value area to the total area from point M to point O;
[0082] S2400, if V=e, pick up the starting point correspondi...
Embodiment 2
[0103] A method for removing the descending aorta based on CT sequence images, comprising: the above-mentioned method for acquiring the descending aorta, and S3060, removing the descending aorta from the first image to obtain the following Figure 10 shown in the second image, as Figure 7 shown, including:
[0104]S3061, if the number of centers in the seed point list is greater than or equal to 3, calculate the average radius of all seed points and the mean center point P 3 ;
[0105] S3062, calculate with P 3 is the center of the circle, with is the average value of the gray value of all pixel points PO in the circle of radius Set the parameter f to get the grayscale threshold of the connected domain where f is a positive number; preferably, f=20-40, and f=30 has the best effect.
[0106] S3063, recalculate the center point P of the connected domain 4 ;
[0107] S3064, starting from the bottom layer, calculate P on the two-dimensional slice of each layer in tur...
Embodiment 3
[0112] like Figure 8 As shown, the present application provides a system for obtaining a coronary tree based on CT sequence images, including: a CT data acquisition device 100, a heart gravity center extraction device 200, a spine gravity center extraction device 300, and a descending aorta extraction device 400; CT data acquisition device The device 100 is used to obtain three-dimensional data of CT sequence images; the cardiac center of gravity extraction device 200 is connected to the CT data acquisition device 100, and is used to obtain the cardiac center of gravity according to the three-dimensional data; the spine gravity center extraction device 300 is connected to the CT data acquisition device 100. The three-dimensional data acquires the spine center of gravity; the descending aorta extraction device 400 is connected to the CT data acquisition device 100 , the cardiac center of gravity extraction device 200 , and the spine center of gravity extraction device 300 , and...
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