The application value of deep convolution level set in ABUS image analysis of varicose vein of lower extremity

Rong Wang; Jun Wu; Liang Sun; Guangqian Yan; Quanwei Cai

doi:10.1117/12.2628681

7 March 2022 The application value of deep convolution level set in ABUS image analysis of varicose vein of lower extremity

Rong Wang, Jun Wu, Liang Sun, Guangqian Yan, Quanwei Cai

Author Affiliations +

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121670F (2022) https://doi.org/10.1117/12.2628681
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

Automatic three-dimensional breast ultrasound (ABUS) is an innovative method for assisted screening of veins in the lower extremities. However, reviewing the thousands of images produced by ABUS is not only time consuming but also easy to miss the venous vessels area with weak feature. In order to analyze the application value of deep convolution level set in ABUS image analysis of varicose vein of lower extremity, an automatic detection algorithm based on the deep convolution level set method is proposed in this paper. First, the experimental data is obtained through ABUS imaging of venous blood vessels. Then, deep convolutional neural network and level set method are combined for automatically realize the position detection and contour segmentation of veins. Finally, the three-dimensional reconstruction of venous vessels is performed according to the ABUS imaging physical parameters. Experimental results are shown that the combination of deep convolution neural network and level set method can obtain a clear and complete three-dimensional venous vascular network of the lower extremities, which has important clinical significance to assist doctors in formulating personalized treatment plans.

Citation Download Citation

Rong Wang, Jun Wu, Liang Sun, Guangqian Yan, and Quanwei Cai "The application value of deep convolution level set in ABUS image analysis of varicose vein of lower extremity", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121670F (7 March 2022); https://doi.org/10.1117/12.2628681

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KEYWORDS

Veins

Image segmentation

3D image processing

Blood vessels

Convolutional neural networks

Convolution

Image analysis

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