지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.1
- 수록면
- 299 - 304 (6page)
이용수
초록· 키워드
오류제보하기
Objectives: In this paper, we proposed an algorithm for recognizing a rotator cuff supraspinatus tendon tear using a texture analysis based on a histogram, gray level co-occurrence matrix (GLCM), and gray level run length matrix (GLRLM). Methods: First, we applied a total of 57 features (5 first order descriptors, 40 GLCM features, and 12 GLRLM features) to each rotator cuff region of interest. Our results show that first order statistics (mean, skewness, entropy, energy, smoothness), GLCM (correlation, contrast, energy, entropy, difference entropy, homogeneity, maximum probability, sum average, sum entropy), and GLRLM features are helpful to distinguish a normal supraspinatus tendon and an abnormal supraspinatus tendon. The statistical significance of these features is verified using a t-test. The support vector machine classification showed accuracy using feature combinations. Support Vector Machine offers good performance with a small amount of training data. Sensitivity, specificity, and accuracy are used to evaluate performance of a classification test. Results: From the results, first order statics features and GLCM and GLRLM features afford 95%, 85%, and 100% accuracy, respectively. First order statistics and GLCM and GLRLM features in combination provided 100% accuracy. Combinations that include GLRLM features had high accuracy. GLRLM features were confirmed as highly accurate features for classified normal and abnormal. Conclusions: This algorithm will be helpful to diagnose supraspinatus tendon tear on ultrasound images.
목차
등록된 정보가 없습니다.
참고문헌 (11)
참고문헌 신청
Chakravarty K / 1993 / Shoulder joint movement and its relationship to disability in the elderly / J Rheumatol 20(8):1359~1361
Chen WM / 2005 / 3-D ultrasound texture classification using run difference matrix / Ultrasound Med Biol 31(6):763~770
Horng MH / 2008 / Texture classification of the ultrasonic images of rotator cuff diseases based on radial basis function network / Proceedings of 2008 IEEE International Joint Conference on Neural Networks :91~97
Wikipedia / Supraspinatus muscle
Lim JY / 2015 / Comparative effectiveness research of conservative treatment and rotator cuff repair for the patient with rotator cuff tears
Chen WM / 2005 / 3-D ultrasound texture classification using run difference matrix / Ultrasound Med Biol 31(6):763~770
Horng MH / 2008 / Texture classification of the ultrasonic images of rotator cuff diseases based on radial basis function network / Proceedings of 2008 IEEE International Joint Conference on Neural Networks :91~97
Wikipedia / Supraspinatus muscle
Lim JY / 2015 / Comparative effectiveness research of conservative treatment and rotator cuff repair for the patient with rotator cuff tears
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