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On-line Access: 2024-08-27

Received: 2023-10-17

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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.11 P.1107-1114

http://doi.org/10.1631/jzus.2005.B1107


Liver fibrosis identification based on ultrasound images captured under varied imaging protocols


Author(s):  CAO Gui-tao, SHI Peng-fei, HU Bing

Affiliation(s):  Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200030, China; more

Corresponding email(s):   pfshi@sjtu.edu.cn

Key Words:  Liver fibrosis, Texture, Co-occurrence matrix, Fisher classifier, Support vector machine


CAO Gui-tao, SHI Peng-fei, HU Bing. Liver fibrosis identification based on ultrasound images captured under varied imaging protocols[J]. Journal of Zhejiang University Science B, 2005, 6(11): 1107-1114.

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Abstract: 
Diagnostic ultrasound is a useful and noninvasive method in clinical medicine. Although due to its qualitative, subjective and experience-based nature, ultrasound image interpretation can be influenced by image conditions such as scanning frequency and machine settings. In this paper, a novel method is proposed to extract the liver features using the joint features of fractal dimension and the entropies of texture edge co-occurrence matrix based on ultrasound images, which is not sensitive to changes in emission frequency and gain. Then, Fisher linear classifier and support vector machine are employed to test a group of 99 in-vivo liver fibrosis images from 18 patients, as well as other 273 liver images from 18 normal human volunteers.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[10] Oosterveld, B.J., Thijssen, J.M., Hartman, P.C., Rosenbusch, G.J.E., 1993. Detection of diffuse liver disease by quantative echography: dependence on a priori choice of parameters. Ultrasound in Medicine and Biology, 19(1):21-25.

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[13] Yeh, W.C., Huang, S.W., Li, P.C., 2003. Liver fibrosis grade classification with B-mode ultrasound. Ultrasound in Medicine and Biology, 29:1229-1235.

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