Effects of Fatty Infiltration of the Liver on the Shannon Entropy of Ultrasound Backscattered Signals
暂无分享,去创建一个
[1] Chung-Chih Lin,et al. Entropic Imaging of Cataract Lens: An In Vitro Study , 2014, PloS one.
[2] Shuicai Wu,et al. A Computer-Aided Diagnosis Scheme For Detection Of Fatty Liver In Vivo Based On Ultrasound Kurtosis Imaging , 2015, Journal of Medical Systems.
[3] T. Wilkins,et al. Nonalcoholic fatty liver disease: diagnosis and management. , 2013, American family physician.
[4] P M Shankar. Comments on 'The effect of logarithmic compression on the estimation of the Nakagami parameter for ultrasonic tissue characterization'. , 2006, Physics in medicine and biology.
[5] Jae Young Lee,et al. Hepatic Steatosis: Assessment with Acoustic Structure Quantification of US Imaging. , 2016, Radiology.
[6] Michael S. Hughes,et al. Analysis of digitized waveforms using Shannon entropy. II. High‐speed algorithms based on Green’s functions , 1994 .
[7] C. Lam,et al. Hepatic steatosis in obese Chinese children , 2004, International Journal of Obesity.
[8] Hsiang-Yang Ma,et al. Effects of fatty infiltration in human livers on the backscattered statistics of ultrasound imaging , 2015, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.
[9] M. Abraham,et al. Association between diabetes, family history of diabetes, and risk of nonalcoholic steatohepatitis and fibrosis , 2012, Hepatology.
[10] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[11] Jacek M. Zurada,et al. An information-theoretic approach to estimating ultrasound backscatter characteristics , 2004, Comput. Biol. Medicine.
[12] Chih-Chung Huang,et al. Characterization of lamina propria and vocal muscle in human vocal fold tissue by ultrasound Nakagami imaging. , 2011, Medical physics.
[13] H. Busse,et al. Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniques. , 2015, World journal of gastroenterology.
[14] A. Berzigotti,et al. Update on ultrasound imaging of liver fibrosis. , 2013, Journal of hepatology.
[15] G. Michels,et al. Acoustic structure quantification ultrasound software proves imprecise in assessing liver fibrosis or cirrhosis in parenchymal liver diseases. , 2014, Ultrasound in medicine & biology.
[16] Rita J. Miller,et al. Contribution EX VIVO STUDY OF QUANTITATIVE ULTRASOUND PARAMETERS IN FATTY RABBIT LIVERS , 2012 .
[17] Ming-de Lu,et al. Assessment of liver fibrosis in chronic hepatitis B using acoustic structure quantification: quantitative morphological ultrasound , 2016, European Radiology.
[18] G. Marchesini,et al. Insulin resistance in nonalcoholic fatty liver disease. , 2010, Current pharmaceutical design.
[19] H. A-Kader,et al. Nonalcoholic fatty liver disease: a comprehensive review of a growing epidemic. , 2014, World journal of gastroenterology.
[20] Raj Vuppalanchi,et al. Presence and significance of microvesicular steatosis in nonalcoholic fatty liver disease. , 2011, Journal of hepatology.
[21] J A Zagzebski,et al. Ultrasound backscatter and attenuation in human liver with diffuse disease. , 1999, Ultrasound in medicine & biology.
[22] Ming-de Lu,et al. Impact factors and the optimal parameter of acoustic structure quantification in the assessment of liver fibrosis. , 2015, Ultrasound in medicine & biology.
[23] P. Shankar. A general statistical model for ultrasonic backscattering from tissues , 2000 .
[24] S A Wickline,et al. Joint entropy of continuously differentiable ultrasonic waveforms. , 2013, The Journal of the Acoustical Society of America.
[25] Michael S. Hughes,et al. Analysis of ultrasonic waveforms using Shannon entropy , 1992, IEEE 1992 Ultrasonics Symposium Proceedings.
[26] Po-Hsiang Tsui,et al. Ultrasound Detection of Scatterer Concentration by Weighted Entropy , 2015, Entropy.
[27] E. Brunt,et al. Role of liver biopsy in nonalcoholic fatty liver disease. , 2014, World journal of gastroenterology.
[28] Yoshito Itoh,et al. Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. , 2014, World journal of gastroenterology.
[29] G. van Kaick,et al. Computerized ultrasound B‐scan texture analysis of experimental diffuse parenchymal liver disease: Correlation with histopathology and tissue composition , 1991, Journal of clinical ultrasound : JCU.
[30] S A Wickline,et al. Properties of an entropy-based signal receiver with an application to ultrasonic molecular imaging. , 2007, The Journal of the Acoustical Society of America.
[31] Guido Gerken,et al. The interaction of hepatic lipid and glucose metabolism in liver diseases. , 2012, Journal of hepatology.
[32] Yan-Wei Lee,et al. Relationship Between Ultrasound Backscattered Statistics and the Concentration of Fatty Droplets in Livers: An Animal Study , 2013 .
[33] Anthony Gamst,et al. Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat Using a New Quantitative Ultrasound Technique. , 2015, Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association.
[34] Raymond W. Yeung,et al. A First Course in Information Theory , 2002 .
[35] Ashwani K. Singal,et al. Diabetes Mellitus Predicts Occurrence of Cirrhosis and Hepatocellular Cancer in Alcoholic Liver and Non-alcoholic Fatty Liver Diseases , 2015, Journal of clinical and translational hepatology.
[36] Naohisa Kamiyama,et al. Real-time ultrasound attenuation imaging of diffuse fatty liver disease. , 2013, Ultrasound in medicine & biology.
[37] F. Dunn,et al. Ultrasonic Scattering in Biological Tissues , 1992 .
[38] Yung-Sheng Chen,et al. Use of nakagami statistics and empirical mode decomposition for ultrasound tissue characterization by a nonfocused transducer. , 2009, Ultrasound in medicine & biology.
[39] Y. Takikawa,et al. Non-invasive determination of hepatic steatosis by acoustic structure quantification from ultrasound echo amplitude. , 2012, World journal of gastroenterology.
[40] F. Schick,et al. Non-invasive assessment and quantification of liver steatosis by ultrasound, computed tomography and magnetic resonance. , 2009, Journal of hepatology.
[41] Hiroyuki Hachiya,et al. B-mode ultrasound with algorithm based on statistical analysis of signals: evaluation of liver fibrosis in patients with chronic hepatitis C. , 2009, AJR. American journal of roentgenology.
[42] Ruey-Feng Chang,et al. Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors , 2004, Breast Cancer Research and Treatment.
[43] U. Rajendra Acharya,et al. Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm , 2015, Knowl. Based Syst..
[44] L. Rui,et al. Energy metabolism in the liver. , 2014, Comprehensive Physiology.
[45] Michael S. Hughes,et al. Analysis of digitized waveforms using Shannon entropy , 1993 .
[46] Haim Azhari,et al. Feasibility study of ultrasonic fatty liver biopsy: texture vs. attenuation and backscatter. , 2004, Ultrasound in medicine & biology.
[47] J. Kench,et al. High sensitivity C‐reactive protein values do not reliably predict the severity of histological changes in NAFLD , 2004, Hepatology.
[48] Scott B Reeder,et al. Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy. , 2011, Radiology.