Method for constructing complete blood vessel tree structure by using continuous multi-frame images
A multi-frame image and vascular tree technology, applied in image enhancement, image analysis, medical images, etc., can solve the problems of incomplete restoration of vascular shape, incomplete information, and inability to correct it, achieving reliable reference value, The effect of reducing misjudgment
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[0022] combine figure 1 with figure 2 Describe this embodiment, a method for establishing a coronary angiography vascular tree, the method includes a series of procedures for coronary angiography vessel instance segmentation, post-processing of segmented images, skeleton line extraction, continuous multi-frame image registration, and vascular tree information storage . Using image processing methods based on computer vision provides more possibilities for computer-aided diagnosis and treatment. The development and application of computer-aided diagnosis and treatment can reduce misjudgment caused by human factors. The establishment of the vascular tree based on the proposed node information can quickly help the analysis of the vascular structure.
[0023] Step 1: Based on the deep learning image segmentation network, the coronary angiography image obtained from the hospital is segmented into blood vessels, and the instance segmentation map of each segment of the blood vess...
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