机构：[1]School of Information Science and Technology, ShanghaiTech University, Shanghai, China[2]Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China[3]Shanghai Engineering Research Center of Intelligent Vision and Imaging, Shanghai, China
Carotid artery segmentation and atherosclerosis identification are important in the diagnosis of carotid atherosclerosis. Conventional 2D ultrasound devices may overlook some plaque information of carotid atherosclerosis due to angle issues. This study proposed a multi-task learning method for automatically diagnosing carotid atherosclerosis and simultaneously segmenting carotid arteries to extract the 3D volume of plaque for further analysis. A 3D U-net was firstly employed for carotid segmentation, followed by integrating the segmentation results and original data volume into the classification module composed by another adapted 3D U-net. The accuracy of atherosclerosis identification was 90.0% with a sensitivity of 91.7% and a specificity of 89.3%. Meanwhile, the DSC from our approach were 0.9189 for lumen-intima boundary (LIB) and 0.9444 for vessel-wall-volume (VWV). The result of the proposed algorithm showed the potential of clinical implications for the diagnosis of carotid atherosclerosis using the portable 3D ultrasound imaging technique.
基金：
Natural Science Foundation of China [12074258]
语种：
外文
WOS：
第一作者：
第一作者机构：[1]School of Information Science and Technology, ShanghaiTech University, Shanghai, China
推荐引用方式(GB/T 7714)：
Zhang Haibin,Li Jiawen,Mi Duo,et al.Multi-task Learning Approach for Automatic Diagnosis and Segmentation of Carotid Atherosclerosis Using Portable 3D Ultrasound[J].2024 IEEE ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL JOINT SYMPOSIUM, UFFC-JS 2024.2024,doi:10.1109/UFFC-JS60046.2024.10793810.
APA：
Zhang, Haibin,Li, Jiawen,Mi, Duo,Huang, Yunqian,Chen, Man&Zheng, Rui.(2024).Multi-task Learning Approach for Automatic Diagnosis and Segmentation of Carotid Atherosclerosis Using Portable 3D Ultrasound.2024 IEEE ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL JOINT SYMPOSIUM, UFFC-JS 2024,,
MLA：
Zhang, Haibin,et al."Multi-task Learning Approach for Automatic Diagnosis and Segmentation of Carotid Atherosclerosis Using Portable 3D Ultrasound".2024 IEEE ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL JOINT SYMPOSIUM, UFFC-JS 2024 .(2024)
