Laser & Optoelectronics Progress, Volume. 59, Issue 10, 1017002(2022)
Feature Extraction Algorithm Based on Carotid Artery Ultrasound Vessels
With the rapid advancement of medical imaging technology and the rapid development in artificial intelligence, intelligent medicine has emerged as a prominent focus of medical study. Although ultrasound imaging technology has many therapeutic uses, most vascular extraction techniques are manual or semiautomatic, and the extraction results are highly subjective and error-prone. For preprocessing carotid artery features, this work uses a multiscale Hessian filtering synergistic technique. It then uses medical prior knowledge to extract the region of interest (ROI) of blood vessels, creates a traversal tracking search algorithm to find blood vessels, and automatically extracts the carotid artery vessel wall using pixel grayscale difference grading. The extraction accuracy can reach 89.3%. This study can lessen the load on physicians, reduce the rate of misdiagnosis owing to subjective diagnosis and allow physicians to perform a quantitative and qualitative examination of vascular morphological features, making clinical diagnosis more objective and accurate.
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Guodong Sun, Yunyu Shi, Xiang Liu. Feature Extraction Algorithm Based on Carotid Artery Ultrasound Vessels[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1017002
Category: Medical Optics and Biotechnology
Received: Jul. 8, 2021
Accepted: Aug. 10, 2021
Published Online: May. 16, 2022
The Author Email: Shi Yunyu (yunyushi@sues.edu.cn)