Computer-aided Diagnosis of Breast Elastography

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概要

• 論文の詳細を見る

• Ultrasonography has been an important imaging technique for detecting breast tumors. As opposed tothe conventional B-mode image, the real-time tissue elastography by ultrasound is a new technique for imagingthe elasticity and applied to detect the stiffness of tissues. The red region of color elastography indicatesthe soft tissue and the blue one indicates the hard tissue. The harder tissue usually is classified as malignancy.In this paper, the authors proposed a computer-aided diagnosis( CAD) system on elastography tomeasure whether this system is effective and accurate to classify the tumor into benign and malignant. Accordingto the features of elasticity, the color elastography was transferred to hue, saturation, and value(HSV) color space and extracted meaningful features from hue images. Then the neural network was utilizedin multiple features to distinguish tumors. In this experiment, there are 180 pathology-proven cases including113 benign and 67 malignant cases used to examine the classification. The results of the proposedsystem showed an accuracy of 83.89 %, a sensitivity of 82.09 % and a specificity of 84.96 %. Compared withthe physician's diagnosis, an accuracy of 78.33 %, a sensitivity of 53.73 % and a specificity of 92.92 %, theproposed CAD system had better performance. Moreover, the agreement of the proposed CAD system andthe physician's diagnosis was calculated by kappa statistics, the kappa 0.64 indicated there is a fair agreementof observers.

• 獨協医科大学の論文
• 2009-03-25

著者

• Wei-chih Shen

  Department Of Computer Science And Information Engineering National Chung Cheng University

• Shen Wei-chih

  Department Of Computer Science And Information Engineering National Chung Cheng University

• Ruey-feng Chang

  Department Of Computer Science And Information Engineering National Taiwan University

• Chang Ruey-feng

  Department Of Computer Science And Information Engineering Graduate Institute Of Biomedical Electron

• Chang Ruey-feng

  Department Of Computer Science And Information Engineering National Taiwan University

• Woo Kyung

  Department Of Ophthalmology Samsung Medical Center

• Yu-chun Ho

  Department Of Computer Science And Information Engineering National Taiwan University

• Woo Kyung

  Department Of Diagnostic Radiology College Of Medicine Seoul National University Hospital

• Etsuo Takada

  Center Of Medical Ultrasonics Dokkyo Medical University School Of Medicine

• Michiko Nakajima

  Comprehensive Regional Medical Service Saitama Medical University

• Masayuki Kobayashi

  Comprehensive Regional Medical Service, Saitama Medical University

• Masayuki Kobayashi

  Comprehensive Regional Medical Service Saitama Medical University

• Kobayashi Masayuki

  コバヤシ,マサユキ

• Ho Yu-Chun

  Department of Computer Science and Information Engineering National Taiwan University

• Nakajima Michiko

  ナカジマ,ミチコ

• Takada Etsuo

  タカダ,エツコ

• Woo Kyung

  Department of Diagnostic Radiology, College of Medicine Seoul National University Hospital

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• Computer-aided Diagnosis of Breast Elastography
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