Feature Extraction Algorithm Based on Carotid Artery Ultrasound Vessels

Guodong Sun; Yunyu Shi; Xiang Liu

doi:10.3788/LOP202259.1017002

Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 10 >Page 1017002 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 10, 1017002 (2022)

Feature Extraction Algorithm Based on Carotid Artery Ultrasound Vessels

Guodong Sun, Yunyu Shi^*, and Xiang Liu

Author Affiliations

School of Electrical and Electronic Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

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DOI: 10.3788/LOP202259.1017002 Cite this Article Set citation alerts

Guodong Sun, Yunyu Shi, Xiang Liu. Feature Extraction Algorithm Based on Carotid Artery Ultrasound Vessels[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1017002 Copy Citation Text

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Fig. 1. Flow chart of blood vessel extraction algorithm

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Fig. 2. Comparison of image filtering effect. (a) Original image; (b) bilateral filtered image; (c) median filtered image; (d) Frangi filtered image

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Fig. 3. Ultrasound image standardization processing. (a) Before processing; (b) after processing

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Fig. 4. Experiment results

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$λ_{1}$	$λ_{2}$	Image Feature
L	-H	Vessel wall （brightness）
L	+H	Bureaucratic blood （darkness）

Table 1. Hessian matrix corresponding to image feature table

Real situation	Predicted result
Real situation	Positive sample	Negative sample
Positive sample	TP	FN
Negative sample	FP	TN

Table 2. Confusion matrix

Dataset source

Number of samples

Recall /

Precision /

Total

147

81.3

89.3

Shanghai Fengxian District Central Hospital

80.6

89.3

Cyprus Neurological Institute

81.9

89.4

Table 3. Statistics of blood vessel extraction results

Guodong Sun, Yunyu Shi, Xiang Liu. Feature Extraction Algorithm Based on Carotid Artery Ultrasound Vessels[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1017002

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