Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19692
Title: Longitudinal enhancement of the hyperechoic regions in ultrasonography of muscles using a gabor filter bank approach : a preparation for semi-automatic muscle fiber orientation estimation
Authors: Zhou, Y
Zheng, YP 
Keywords: Gabor filtering
Image enhancement
Image segmentation
Muscle
Soft tissue
Sonogram
Sonomyography
Ultrasound
Issue Date: 2011
Publisher: Elsevier Science Inc
Source: Ultrasound in Medicine and Biology, 2011, v. 37, no. 4, p. 665-673 How to cite?
Journal: Ultrasound in Medicine and Biology 
Abstract: In this study, to complement our previously proposed method for estimating muscle fiber orientation, the Gabor filter bank (GF) technique was applied to sonograms of the biceps and forearm muscles to longitudinally enhance the coherently oriented and hyperechoic perimysiums regions. The method involved three steps: orientation field estimation, frequency map computation and Gabor filtering. The method was evaluated using a simulated image distorted with multiplicative speckle noises where the "muscles" were arranged in a bipennate fashion with an "aponeurosis" located in the middle. After enhancement using the GF approach, most of the original hyperechoic bands in the simulated image could be recovered. The proposed method was also tested using a group of biceps and forearm muscle sonograms collected from healthy adult subjects. Compared with the sonograms without enhancement, the enhanced images led to the detection of more linear patterns including muscle fascicles and smaller angle differences compared with the mean of manual results from two operators, therefore, were better prepared for the automatic estimation of muscle fiber orientation. The proposed method has the potential of assisting in the visualization of strongly oriented patterns in skeletal muscle sonograms as well as in the semi-automatic estimation of muscle fiber orientations. (E-mail: yongjin.zhou@inet.polyu.edu.hk).
URI: http://hdl.handle.net/10397/19692
DOI: 10.1016/j.ultrasmedbio.2010.12.011
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