Pulmonary Vascular Tree Segmentation Method Combining Tubular Structure Enhancement and Energy Function

Abstract

The invention relates to a pulmonary vascular tree segmentation method combining tubular structure enhancement and energy function, which uses a Pock function to calculate the responsivity of the tubular structure, thereby detecting potential vascular regions. Then the original image is enhanced by a tubular structure enhancement algorithm based on diffusion tensor, which reduces the influence of noise on the original image and enhances the vessel area. Finally, the calculation result of Pock function and the result of image enhancement are combined to construct a region description operator, and the pulmonary blood vessels are finely segmented using the VRG method, which is a minimum energy segmentation method. The segmentation results show that the method extracts a large number of small blood vessels while segmenting the main pulmonary vessels, and the segmentation results are less affected by noise. The method has high specificity and strong sensitivity, and can distinguish blood vessels and tracheal wall regions, further improving the accuracy of segmentation results.

Description

technical field [0001] The invention relates to a medical image processing technology, in particular to a pulmonary blood vessel tree segmentation method combining tubular structure enhancement and energy function. Background technique [0002] Pulmonary blood vessels are composed of pulmonary arteries and pulmonary veins, and are one of the most complex vascular structures in various tissues and organs of the human body. Starting from the pulmonary aorta and main pulmonary vein, the pulmonary blood vessels branch out step by step to form a tree-like vascular tree structure. In clinical diagnosis, accurate acquisition of the anatomical structure information of the pulmonary vascular tree is an important reference for assessing the risk of pulmonary hypertension and the basis for automatic detection of pulmonary embolism. It is also beneficial to reduce the false positive rate of pulmonary nodule detection. In clinical research, effectively separating the pulmonary vascular ...

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Problems solved by technology

[0003] The present invention aims at the problems of incomplete segmentation of small blood vessels, misclassification of tracheal wall area and large amount of calculation in the segmentation of pulmonary vascular tree, and proposes a pulmonary vascular tree segmentation method combining tubular structure enhancement and energy function, To achieve effective segmentation of the pulmonary vascular tree

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