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ZJUS-B
Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology)  2005, Vol. 6 Issue (11): 10-    DOI: 10.1631/jzus.2005.B1107
    
Liver fibrosis identification based on ultrasound images captured under varied imaging protocols
CAO Gui-tao, SHI Peng-fei, HU Bing
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200030, China; Department of Ultrasound in Medicine, Shanghai Sixth Hospital, Shanghai Jiao Tong University, Shanghai 200233, China
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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.

Key words： Liver fibrosis      Texture      Co-occurrence matrix      Fisher classifier      Support vector machine     
Received: 20 June 2005     
CLC:  R445  
  TP391  
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CAO Gui-tao
SHI Peng-fei
HU Bing
Cite this article:

CAO Gui-tao, SHI Peng-fei, HU Bing. Liver fibrosis identification based on ultrasound images captured under varied imaging protocols. Journal of Zhejiang University-SCIENCE B (Biomedicine & Biotechnology), 2005, 6(11): 10-.

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http://www.zjujournals.com/xueshu/zjus-b/10.1631/jzus.2005.B1107     OR     http://www.zjujournals.com/xueshu/zjus-b/Y2005/V6/I11/10

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