NDLI: Method of edge energy template for detection of ultrasonic based fatty liver

Content Provider	IEEE Xplore Digital Library
Author	Yang Yang Qing He Chao Hu Jingsheng Liao Meng, M.Q.-H.
Copyright Year	2010
Description	Author affiliation: Department of Electronic Engineering, The Chinese University of HongKong, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shatin, N.T. HongKong (Meng, M.Q.-H.) \|\| Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, The Chinese University of Hong Kong, Hong Kong, China (Yang Yang; Qing He; Chao Hu; Jingsheng Liao)
Abstract	In the current medical world, B-ultrasound is usually utilized as the detection technique of fatty liver. However, because of the image resolution at B-Ultrasound is limited, the technique is inadequate to after quantitative data to help doctors make decisions and judgments. Therefore, doctors instead make decisions based on their precedent experiences, which are arguably not precise in many cases. For the sake of accurate judgment of fatty liver, it is crucial to combine doctor's personal judgment and the method of image processing which could extract more accurate features from the B-Ultrasound. Methods of existing image processing mostly based on texture analysis. For example, gray level co-occurrence matrix(GLCM), which calculate quantities and a large number of parameters, is largely complex, and not stable in terms of its parameter. This paper put forward a method based on the use of edge energy template, which was used for processing and calculating B-Ultrasound image of liver with only very few parameters. The method was very expressive, and the result is simple to calculate. One of the creationary ideas for this method is to partition the image into different templates, it helps to reduce redundant calculation, and will not lose any information regarding the pathology. It also designs algorithm of filteration, and improved method of extraction of Region of Interest (ROI) and partition of near-far regions.
Starting Page	994
Ending Page	998
File Size	388638
Page Count	5
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5646937
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonic imaging method of edge energy template Image edge detection Liver Medical services Acoustics fatty liver Data mining gray level co-occurrence matrix(GLCM) Pixel ultrasound texture analysis
Content Type	Text
Resource Type	Article

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