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Title: 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
Authors: Wei, XG
Zhang, JY
Chan, SC
Wu, HC
Zhou, YJ
Zheng, YP 
Keywords: Free-form deformation (FFD)-based tracking
Locally adaptive thresholding
Rectus femoris
Tracking and segmentation
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE journal of biomedical and health informatics, 2017, v. 21, no. 4, p. 1058-1068 How to cite?
Journal: IEEE journal of biomedical and health informatics 
Abstract: Ultrasonography is an important diagnostic imaging technique for visualization of tendons, which provides useful health diagnostic and fundamental information in neuromuscular studies of human motion systems. Conventional ultrasonic-based tendon studies, however, are highly dependent on subjective experience of operators 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 tracking algorithm 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 a new 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.
ISSN: 2168-2194
EISSN: 2168-2194
DOI: 10.1109/JBHI.2016.2580708
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