Automatic Extraction of Central Tendon of Rectus Femoris (CT-RF) in Ultrasound Images Using a New Intensity-Compensated Free-Form Deformation-Based Tracking Algorithm With Local Shape Refinement.
文献类型：期刊论文
| 作者 | Wei, Xiguang; Zhang, Jinyong; Chan, Shing-Chow; Wu, Ho-Chun; Zhou, Yongjin; Zheng, Yong-Ping |
| 刊名 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Ultrasonography is an important diagnostic imaging technique for visualization of tendons, which provides useful health diagnostic and fundamental informationin neuromuscular studies of human motion systems. Conventional ultrasonic-based tendon studies, however, are highly dependent on subjective experience ofoperators due to various impairments of ultrasound images. Dynamic changes of muscle and tendon deformation in a sequence can hardly be manually processed. Consequently, there is an urgent need for automatic analysis of tendon behavior. This paper proposes an automatic ultrasonic tendon trackingalgorithm to extract the shape deformation ofcentral tendon of rectus femoris (CT-RF) from ultrasonic image sequences. The tracking problem is complicated by the highly deformable tendon, time-varying brightness, and the inconspicuousness of the target. To address this difficult tracking problem, we proposed anew intensity-compensated free-form deformation (IC-FFD)-based tracking algorithm with local shape refinement (LSR). Experimental results and comparison show that the proposed IC-FFD-LSR algorithm out-performs IC-FFD and conventionalmethods such as MI-FFD in CT-RF tracking. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11990]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS |
| 推荐引用方式 GB/T 7714 | Wei, Xiguang,Zhang, Jinyong,Chan, Shing-Chow,et al. Automatic Extraction of Central Tendon of Rectus Femoris (CT-RF) in Ultrasound Images Using a New Intensity-Compensated Free-Form Deformation-Based Tracking Algorithm With Local Shape Refinement.[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2017. |
| APA | Wei, Xiguang,Zhang, Jinyong,Chan, Shing-Chow,Wu, Ho-Chun,Zhou, Yongjin,&Zheng, Yong-Ping.(2017).Automatic Extraction of Central Tendon of Rectus Femoris (CT-RF) in Ultrasound Images Using a New Intensity-Compensated Free-Form Deformation-Based Tracking Algorithm With Local Shape Refinement..IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. |
| MLA | Wei, Xiguang,et al."Automatic Extraction of Central Tendon of Rectus Femoris (CT-RF) in Ultrasound Images Using a New Intensity-Compensated Free-Form Deformation-Based Tracking Algorithm With Local Shape Refinement.".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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