https://scholars.lib.ntu.edu.tw/handle/123456789/521469
標題: | Liver steatosis classification using high-frequency ultrasound | 作者: | Yeh W.-C. YUNG-MING JENG Li C.-H. PO-HUANG LEE PAI-CHI LI |
關鍵字: | Gray-level concurrence; High-frequency ultrasound; Liver pathology; Nonseparable wavelet transform; Steatosis; Support vector machine; Tissue characterization | 公開日期: | 2005 | 出版社: | Elsevier USA | 卷: | 31 | 期: | 5 | 起(迄)頁: | 599-605 | 來源出版物: | Ultrasound in Medicine and Biology | 摘要: | High-frequency B-mode images of 19 fresh human liver samples were obtained to evaluate their usefulness in determining the steatosis grade. The images were acquired by a mechanically controlled single-crystal probe at 25 MHz. Image features derived from gray-level concurrence and nonseparable wavelet transform were extracted to classify steatosis grade using a classifier known as the support vector machine. A subsequent histologic examination of each liver sample graded the steatosis from 0 to 3. The four grades were then combined into two, three and four classes. The classification results were correlated with histology. The best classification accuracies of the two, three and four classes were 90.5%, 85.8% and 82.6%, respectively, which were markedly better than those at 7 MHz. These results indicate that liver steatosis can be more accurately characterized using high-frequency B-mode ultrasound. Limitations and their potential solutions of applying high-frequency ultrasound to liver imaging are also discussed. ? 2005 World Federation for Ultrasound in Medicine & Biology. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-18144428327&doi=10.1016%2fj.ultrasmedbio.2005.01.009&partnerID=40&md5=46ca559f7a5661ce116d90a3d63a5a6d https://scholars.lib.ntu.edu.tw/handle/123456789/521469 |
ISSN: | 03015629 | DOI: | 10.1016/j.ultrasmedbio.2005.01.009 | SDG/關鍵字: | Correlation methods; Frequencies; Histology; Single crystals; Ultrasonics; Wavelet transforms; High-frequency ultrasound; Liver imaging; Liver steatosis classification; Support vector machine (SVM); Medical imaging; article; B scan; clinical feature; controlled study; correlation analysis; crystal; diagnostic accuracy; diagnostic value; disease classification; fatty liver; histopathology; human; human tissue; image analysis; intermethod comparison; liver; priority journal; tissue characterization |
顯示於: | 醫學系 |
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