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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]) |
ISSN | 0885-3010 |
EISSN | 1525-8955 |
卷号 | 68期号:5页码:1696-1706 |
发表状态 | 已发表 |
DOI | 10.1109/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 |
URL | 查看原文 |
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 |
引用统计 | 正在获取...
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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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