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《Progress in Modern Biomedicine》 2013-25
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Grading Diagnosis of Rats' Fatty Liver Tissue Based on Ultrasonic Radiofrequency Signal

PENG Guo-hua;WU Cai-yi;WU Jian-hui;LUAN Qiang-hou;School of Life Science and Technology, University of Electronic and Technology of China;Sun Yat-sen University School of Mathematics and Computational Science;Ruichao Electronic Technology Co.,Ltd;  
Objective: To explore a new method for the grading diagnosis of fatty liver based on the liver ultrasonic radiofrequency(RF) signal.Methods: The 80 fatty liver rat models were established by feeding the rats with a high fat diet.There were 28 rats with normal liver,21 rats with mild fatty liver,18 rats with moderate fatty liver,13 rats with severe fatty liver.The ultrasonic RF signal was acquired from rat's left and right liver,and the RF signal was selected from the region of interest.The fatty characteristics of rat's liver RF signal was analyzed,and statistical features were extracted from RF signal envelope.Three features were selected: mean/std(msr),skewness and kurtosis.Finally,BP neural network was used to classify normal livers and variable degrees of fatty livers.Results: The accuracy rates of classification were 92.5%,87.5%,76.7%,77.3% for normal liver,mild fatty liver,moderate fatty liver and severe fatty liver,respectively.Conclusion: The method of this article is able to achieve the grading diagnosis of rat's fatty liver.Ultrasonic RF signal is valuable for the diagnosis of fatty liver.This study provides a new direction for grading diagnosis of fatty liver disease research.
【CateGory Index】: R575.5
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