Anatomical Prior and Inter-slice Consistency for Semi-supervised Vertebral Structure Detection in 3D Ultrasound Volume

doi:10.1109/JBHI.2024.3360102

	Anatomical Prior and Inter-slice Consistency for Semi-supervised Vertebral Structure Detection in 3D Ultrasound Volume
	Zeng, Hongye1 ; Zhou, Kang 2; Ge, Songhan1 ; Gao, Yuchong1 ; Zhao, Jianhao1 ; Gao, Shenghua1 ; Zheng, Rui1
	2024-04
发表期刊	IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (IF:6.7[JCR-2023],7.1[5-Year])
ISSN	2168-2208
EISSN	2168-2208
卷号	PP 期号:99 页码:1-12
发表状态	已发表
DOI	10.1109/JBHI.2024.3360102
摘要	Three-dimensional (3D) ultrasound imaging technique has been applied for scoliosis assessment, but the current assessment method only uses coronal projection images and cannot illustrate the 3D deformity and vertebra rotation. The vertebra detection is essential to reveal 3D spine information, but the detection task is challenging due to complex data and limited annotations. We propose VertMatch to detect vertebral structures in 3D ultrasound volume containing a detector and classifier. The detector network finds the potential positions of structures on transverse slice globally, and then the local patches are cropped based on detected positions. The classifier is used to distinguish whether the patches contain real vertebral structures and screen the predicted positions from the detector. VertMatch utilizes unlabeled data in a semi-supervised manner, and we develop two novel techniques for semi-supervised learning: (1) anatomical prior is used to acquire high-quality pseudo labels; (2) inter-slice consistency is used to utilize more unlabeled data by inputting multiple adjacent slices. Experimental results demonstrate that VertMatch can detect vertebra accurately in ultrasound volume and outperforms state-of-the-art methods. Moreover, VertMatch is also validated in automatic spinous process angle measurement on forty subjects with scoliosis, and the results illustrate that it can be a promising approach for the 3D assessment of scoliosis. IEEE
关键词	Vertebral structure detection 3D ultrasound volume Semi-supervised learning Anatomical prior Inter-slice consistency Job analysis Musculoskeletal system Supervised learning Three dimensional displays 3-D ultrasound 3d ultrasound volume Anatomical priors Annotation Heating system Scoliosis Structure detection Task analysis Three-dimensional display Ultrasound volume
URL	查看原文
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20240615527090
EI主题词	Ultrasonic imaging
EI分类号	461.3 Biomechanics, Bionics and Biomimetics ; 722.2 Computer Peripheral Equipment
原始文献类型	Article in Press
来源库	IEEE
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/349744
专题	信息科学与技术学院信息科学与技术学院_PI研究组_高盛华组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
通讯作者	Zheng, Rui
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China
第一作者单位	信息科学与技术学院
通讯作者单位	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	Zeng, Hongye,Zhou, Kang,Ge, Songhan,et al. Anatomical Prior and Inter-slice Consistency for Semi-supervised Vertebral Structure Detection in 3D Ultrasound Volume[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2024,PP(99):1-12.
APA	Zeng, Hongye.,Zhou, Kang.,Ge, Songhan.,Gao, Yuchong.,Zhao, Jianhao.,...&Zheng, Rui.(2024).Anatomical Prior and Inter-slice Consistency for Semi-supervised Vertebral Structure Detection in 3D Ultrasound Volume.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,PP(99),1-12.
MLA	Zeng, Hongye,et al."Anatomical Prior and Inter-slice Consistency for Semi-supervised Vertebral Structure Detection in 3D Ultrasound Volume".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS PP.99(2024):1-12.