한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제20권1호
  • /
  • Pages.43-50
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  • 2017
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
권호 표지
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컴퓨터 보조진단을 위한 초음파 영상에서 갑상선 결절의 텍스쳐 분석

Texture analysis of Thyroid Nodules in Ultrasound Image for Computer Aided Diagnostic system

  • Park, Byung eun (Dept. of Medical Eng., Graduate school, Yonsei University) ;
  • Jang, Won Seuk (Dept. of Medical Eng., Yonsei University College of Medicine Clinical Trials Center for Medical Devices, YUHS) ;
  • Yoo, Sun Kook (Dept. of Medical Eng., Yonsei UniversityCollege of Medicine)
  • 투고 : 2016.08.21
  • 심사 : 2016.12.20
  • 발행 : 2017.01.30
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초록

According to living environment, the number of deaths due to thyroid diseases increased. In this paper, we proposed an algorithm for recognizing a thyroid detection using texture analysis based on shape, gray level co-occurrence matrix and gray level run length matrix. First of all, we segmented the region of interest (ROI) using active contour model algorithm. Then, we applied a total of 18 features (5 first order descriptors, 10 Gray level co-occurrence matrix features(GLCM), 2 Gray level run length matrix features and shape feature) to each thyroid region of interest. The extracted features are used as statistical analysis. Our results show that first order statistics (Skewness, Entropy, Energy, Smoothness), GLCM (Correlation, Contrast, Energy, Entropy, Difference variance, Difference Entropy, Homogeneity, Maximum Probability, Sum average, Sum entropy), GLRLM features and shape feature helped to distinguish thyroid benign and malignant. This algorithm will be helpful to diagnose of thyroid nodule on ultrasound images.

키워드

참고문헌

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