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http://dx.doi.org/10.6109/jkiice.2013.17.9.2206

The Classification of Fatty Liver by Ultrasound Imaging using Computerizing Method  

Jang, Hyun-Woo (Department of Physiology and Biomedical Engineering, School of Medicine, Pusan National University)
Kim, Kwang-Beak (Department of Computer Engineering, Silla University)
Kim, Chang Won (Department of Radiology, School of Medicine, Pusan National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.9, 2013 , pp. 2206-2212 More about this Journal
Abstract
We propose a method for the classification of fatty liver by ultrasound imaging using Fuzzy Contrast Enhancement Technique and FCM. ROI images are extracted after removal of information data except ultrasound image of the liver and the kidney then image contrast is improved by Fuzzy Contrast Enhancement Algorithm. The images applied Fuzzy Contrast Enhancement Technique is applied average binarization then ROI images of liver and kidney parenchyma are extracted using Blob algorithm. Representative brightness is extracted in the liver and kidney images using the most frequent brightness level after classification of 10 brightness levels. We applied this method to ultrasound images and a radiologist confirmed the accuracy of diagnosis for fatty liver. This method would be a model for automatic method in the diagnosis of fatty liver.
Keywords
Fuzzy Contrast Enhancement; FCM; Liver parenchyma; kidney parenchyma;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Y. M. Kim, "Using quantitative analysis of liver ultrasound PACS," Journal of Ultrasound Medical Imaging, pp. 83-85, 2010.
2 Ricardo Ribeiro and J.Miguel Sanches, "Diffuse liver disease classification form ultrasound surface characterization, clinical and laboratorial data," 5th Iberian Conference IbPRIA 2011, pp. 167-175, 2011.
3 K. B. Kim, "Fuzzy Stretching Method of Color Image," Journal of The Korea Society of Computer and Information," Vol.18, No.5, pp.19-23, 2013.
4 T. H. Kim, J. H. Lee, Y. C. Hwang, "Fuzzy C-means algorithm with quantization based Study on the vehicle color recognition, Korea Multimedia Society, pp. 235-238, 2010.
5 H. Takagi and M. Sugeno, "Fuzzy Identification of Systems and Its Application to Modeling and Control," IEEE Trans. on Sys. Man and Cybern., Vol. 15, pp. 116-132, 1985.
6 J. H. Holland, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989.