Literature DB >> 27277966

Studies on tissue characterization by texture analysis with co-occurrence matrix method using ultrasonography and CT imaging.

Yi Wang1, Kouichi Itoh1, Nobuyuki Taniguchi1, Hisao Toei2, Fukiko Kawai1, Michiru Nakamura1, Kiyoka Omoto1, Kyoko Yokota1, Tomoko Ono1.   

Abstract

We used texture analysis with the co-occurrence matrix method to analyze ultrasonograms from normal and diseased livers, and X-ray CT images obtained from normal cases and cases of idiopathic interstitial pneumonia. Ten cases of normal, fatty, and cirrhotic livers; 10 cases of normal lungs; and 10 cases of idiopathic interstitial pneumonia, all confirmed by clinical findings, laboratory data, surgery, or biopsy, were the subjects of this study. We compared the results of texture analysis in normal and diseased livers under the same conditions of gain, focus, magnification rate, probe frequency, and depth of the region of interest. Here we discuss the relationship between Fisher ratio of texture analysis and pathological character. Although the normal and diseased liver groups did not differ significantly, the different pathological grades of fibrosis and the different size of nodules in the cirrhotic and normal liver groups did have different Fisher ratios. We compared the results of texture analysis with images obtained from normal cases and cases of idiopathic interstitial pneumonia. Significant differences between normal lungs and those with idiopathic interstitial pneumonia were also found. We thus think that texture analysis can be used to analyze ultrasonograms obtained from lesions of different pathological grades and to classify CT images as well.

Entities:  

Keywords:  computed tomography; idiopathic interstitial pneumonia; liver diseases; texture analysis; ultrasonography

Year:  2002        PMID: 27277966     DOI: 10.1007/BF02480852

Source DB:  PubMed          Journal:  J Med Ultrason (2001)        ISSN: 1346-4523            Impact factor:   1.314


  28 in total

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Journal:  Ultrason Imaging       Date:  1993-10       Impact factor: 1.578

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Journal:  J Urol       Date:  1995-11       Impact factor: 7.450

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  6 in total

1.  Moment-based texture segmentation of luminal contour in intravascular ultrasound images.

Authors:  Esmeraldo Dos Santos Filho; Makoto Yoshizawa; Akira Tanaka; Yoshifumi Saijo; Takahiro Iwamoto
Journal:  J Med Ultrason (2001)       Date:  2005-09       Impact factor: 1.314

2.  Proposal of a parametric imaging method for quantitative diagnosis of liver fibrosis.

Authors:  Tadashi Yamaguchi; Hiroyuki Hachiya
Journal:  J Med Ultrason (2001)       Date:  2010-07-13       Impact factor: 1.314

3.  Real-time texture analysis for identifying optimum microbubble concentration in 2-D ultrasonic particle image velocimetry.

Authors:  Lili Niu; Ming Qian; Liang Yan; Wentao Yu; Bo Jiang; Qiaofeng Jin; Yanping Wang; Robin Shandas; Xin Liu; Hairong Zheng
Journal:  Ultrasound Med Biol       Date:  2011-06-17       Impact factor: 2.998

4.  Application of an artificial neural network to the computer-aided differentiation of focal liver disease in MR imaging.

Authors:  Xuejun Zhang; Masayuki Kanematsu; Hiroshi Fujita; Xiangrong Zhou; Takeshi Hara; Ryujiro Yokoyama; Hiroaki Hoshi
Journal:  Radiol Phys Technol       Date:  2009-05-14

5.  Quantitative sonographic image analysis for hepatic nodules: a pilot study.

Authors:  Naoki Matsumoto; Masahiro Ogawa; Kentaro Takayasu; Midori Hirayama; Takao Miura; Katsuhiko Shiozawa; Masahisa Abe; Hiroshi Nakagawara; Mitsuhiko Moriyama; Seiichi Udagawa
Journal:  J Med Ultrason (2001)       Date:  2015-03-31       Impact factor: 1.314

6.  Computer-aided diagnosis and quantification of cirrhotic livers based on morphological analysis and machine learning.

Authors:  Yen-Wei Chen; Jie Luo; Chunhua Dong; Xianhua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki
Journal:  Comput Math Methods Med       Date:  2013-09-29       Impact factor: 2.238

  6 in total

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