QQ客服 官方微博 反馈留言

	Automatic estimation of muscle thickness in ultrasound images based on revoting hough transform (RVHT)
	Jianhao Tan; Xiaolong Li; Wentao Zhang; Yaoqin Xie; Yongjin Zhou
	2014
会议名称	6th Chinese Conference on Pattern Recognition, CCPR 2014
会议地点	Changsha, China
英文摘要	As an important parameter related to musculoskeletal functions, muscle thickness has been studied for various purposes. However, muscle thickness is usually measured manually by an experienced clinical expert, which is subjective and time consuming, and there are few studies on automatic tracking of muscle thickness during dynamic contraction. In this paper, we proposed a modified Hough transform (HT) to achieve the quantitative and continuous measurement for muscle thickness in ultrasound images. The method involved three steps: image enhancement, locating of superficial and deep aponeuroses by RVHT, and computation of the distance between aponeuroses. The performance of the new method is evaluated using ultrasound images from gastrocnemius muscles of seven patients. The result from the proposed method is also compared to manual detection and another method which was based on Compressive Tracking Algorithm (CTA) applied in our previous work. It was demonstrated in the experiment that the proposed method agrees well with the manual measurement and was able to provide a more convenient and effective approach than the CTA. It could be used for objective muscle thickness tracking in musculoskeletal ultrasound images.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5913]
专题	深圳先进技术研究院_医工所
作者单位	2014
推荐引用方式 GB/T 7714	Jianhao Tan,Xiaolong Li,Wentao Zhang,et al. Automatic estimation of muscle thickness in ultrasound images based on revoting hough transform (RVHT)[C]. 见:6th Chinese Conference on Pattern Recognition, CCPR 2014. Changsha, China.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。