基于相位对称性的血管超声图像分割算法

Ultrasound imaging has become one of the common examination methods in clinical diagnosis due to its advantages of economical, portable, radiation-free, and real-time imaging. Vascular ultrasound imaging can not only reduce intraoperative radiation but also realize the preliminary judgment of vascular lesions outside the operating room, meeting the detection needs of patients unable to undergo digital subtraction angiography. Edges of target tissues in the ultrasonic image are relatively obvious. Comprehensively considering ultrasonic image characteristics and feature distribution, this paper selects a phase symmetry segmentation algorithm to segment the target tissue edges of ultrasound images after noise filtering. Morphological processing is used to optimize the edges of segmentation results. The advantages of the phase symmetry algorithm proposed in this paper are verified by comparing the segmentation results with traditional active contour algorithm and a deep learning model.