Method for rapidly selecting and displaying interested blood vessel in magnetic resonance blood vessel image
A technology for rapid selection and blood vessel images, applied in image analysis, image data processing, instruments, etc., can solve the problems of complex calculation of blood vessel models, time-consuming, inaccurate detection of small blood vessels in branches, etc., to improve the efficiency of clinical diagnosis , reduce the time required, solve the effect of manual segmentation problems
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Embodiment 1
[0061] The downstream vessel selection technology adopts the directional region growing method based on adaptive threshold as the core algorithm, Figure 7 Shown is a schematic diagram of the distribution of the evaluated areas during growth. The specific implementation steps are as follows:
[0062] First determine the starting point and downstream direction. This step is completed in the user interaction step S2, and the user can directly specify the starting point and downstream direction of blood vessel tracking on the three-dimensional image.
[0063] Compute local evaluation regions and local thresholds. After the starting point is determined, the algorithm will start to calculate the size and position of the local evaluation area with the starting point as the center point, and use the iterative optimization threshold detection method to calculate the local threshold in the local evaluation area. The local threshold is used To distinguish background signal from vascu...
Embodiment 2
[0075] The same segmentation algorithm is also used in the selection technology of connected blood vessels between two points. The difference is that in the directional selection of the directional region growth, the local blood vessel segmentation technology uses the minimum path algorithm in the direction selection, and if the growth direction of the directional region is far away from the target point in the Euclidean distance, try other candidate directions for orientation. Region growing, so that it can quickly track from the starting point to the end point, the specific implementation steps are as follows:
[0076] First determine the starting point and downstream direction. This step is completed in the user interaction step S2, and the user can directly designate the starting point and the ending point of blood vessel tracking on the three-dimensional image.
[0077] After the starting point is determined, the algorithm starts to calculate the size and position of the...
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