英文誌(2004-)
Original Article(原著)
(0825 - 0837)
同時生起行列による超音波画像のテクスチャ解析に関する研究及びCT画像情報との比較
Studies on Tissue Characterization by Texture Analysis with Co-occurrence Matrix Method Using Ultrasonography and CT Imaging
王 怡1, 伊東 紘一1, 谷口 信行1, 藤栄 寿雄2, 川井 夫規子1, 中村 みちる1, 尾本 きよか1, 横田 京子1, 小野 倫子1
Yi WANG1, Kouichi lTOH1, Nobuyuki TANIGUCHI1, Hisao TOEI2, Fukiko KAWAI1, Michiru NAKAMURA1, Kiyoka OMOTO1, Kyoko YOKOTA1, Tomoko ONO1
1自治医科大学臨床病理学, 2自治医科大学放射線医学教室
1Department of Clinical Pathology, Jichi Medical School (3311-1 Yakushiji, Minamikawachi-machi, Kawachi-gun, Tochigi 329-0498, Japan), 2Department of Radiology, Jichi Medical School (3311-1 Yakushiji, Minamikawachi-machi, Kawachi-gun, Tochigi 329-0498, Japan)
キーワード : Computed tomography, Idiopathic interstitial pneumonia, Liver diseases, Texture analysis, Ultrasonography
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 included in 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.