Automatic Detection and Measurement of Spinous Process Curve on Clinical Ultrasound Spine Images
2021-05
发表期刊IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (IF:3.0[JCR-2023],2.9[5-Year])
ISSN0885-3010
EISSN1525-8955
卷号68期号:5页码:1696-1706
发表状态已发表
DOI10.1109/TUFFC.2020.3047622
摘要

The ultrasound (US) imaging technique has been applied to scoliosis assessment, and the proxy Cobb angle can be acquired on the US coronal images. The spinous process angle (SPA) is a valuable parameter to indicate 3-D deformity of spine. However, the SPA cannot be measured on US images since the spinous process (SP) is merged in the soft tissue layer and impossible to be identified on the coronal view directly. A new method based on the gradient vector flow (GVF) snake model was proposed to automatically locate SP position on the US transverse images, and the density-based spatial clustering of application with noise (DBSCAN) was used to remove the outliers out of the detected location results. With marking the SP points on the US coronal image, the SP curve was interpolated and the SPA was measured. The algorithm was evaluated on 50 subjects with various severity of scoliosis, and two raters measured the SPA on both US images and radiographs manually. The mean absolute differences (MADs) of SPAs obtained from the two modalities were 3.4 degrees +/- 2.4 degrees and 3.6 degrees +/- 2.8 degrees for the two raters, respectively, which were less than the clinical acceptance error (5 degrees), and the results reported a good linear correlation (r > 0.85) between the US method and radiography. It indicates that the proposed method can be a promising approach for SPA measurement using the US imaging technique.

关键词Ultrasonic imaging Ultrasonic variables measurement Imaging Reliability Diagnostic radiography Biological tissues Image segmentation Gradient vector flow (GVF) snake model scoliosis spinous process angle (SPA) ultrasound (US) spine imaging US image segmentation
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收录类别SCIE ; EI
语种英语
WOS研究方向Acoustics ; Engineering
WOS类目Acoustics ; Engineering, Electrical & Electronic
WOS记录号WOS:000645083300021
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
原始文献类型Article
来源库IEEE
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/126800
专题信息科学与技术学院
信息科学与技术学院_PI研究组_郑锐组
信息科学与技术学院_硕士生
信息科学与技术学院_博士生
作者单位
1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China
2.Electrical and Computer Engineering Department, Faculty of Engineering, University of Alberta, Edmonton, AB, Canada
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Hong-Ye Zeng,Edmond Lou,Song-Han Ge,et al. Automatic Detection and Measurement of Spinous Process Curve on Clinical Ultrasound Spine Images[J]. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL,2021,68(5):1696-1706.
APA Hong-Ye Zeng,Edmond Lou,Song-Han Ge,Zhi-Chao Liu,&Rui Zheng.(2021).Automatic Detection and Measurement of Spinous Process Curve on Clinical Ultrasound Spine Images.IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL,68(5),1696-1706.
MLA Hong-Ye Zeng,et al."Automatic Detection and Measurement of Spinous Process Curve on Clinical Ultrasound Spine Images".IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL 68.5(2021):1696-1706.
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