Three-dimensional lung vessel image segmentation method based on geometric deformation model
A deformation model and blood vessel image technology, applied in image analysis, image data processing, 3D modeling, etc., can solve problems such as speed and accuracy that cannot meet application requirements
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[0043] The practice of the present invention utilizes multi-slice helical CT (HRCT) image data. Because CT images can provide high-definition images and provide high contrast for various tissues in the images, they are usually used in the diagnosis of lung diseases. With the development of multi-slice spiral CT, doctors can obtain higher-resolution images, minimize the local volume effect, and obtain more patient information through one detection, further expanding the application of CT images.
[0044] Combined with the accompanying drawings, the flow chart of the three-dimensional pulmonary vessel image segmentation based on the geometric deformation model is as follows: figure 1 As shown, the detailed segmentation method of the present invention comprises the following five steps:
[0045] (1) The initial segmentation area is determined;
[0046] (2) Calculation of the average value of the blood vessel area;
[0047] (3) Calculation of blood vessel edge energy;
[0048]...
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