Segmentation of liver in low-contrast images using K-means clustering and a priori knowledge (パターン認識・メディア理解)
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概要
- 論文の詳細を見る
In this paper, we address the problem of liver segmentation from low-contrast CT-scan datasets. We consider a 'Gaussian Mixture' model for intensity distribution of liver and non-liver tissues and use a priori knowledge to find statistical parameters of liver. Then, we apply thresholding in a narrow range round the mean of each component of liver's mixture model to find liver candidate pixels. K-means clustering is used to discriminate between liver and non-liver index pixels. Then, we establish a liver probability map by assigning a probability number to each pixel of the original image. We can find initial boundary for liver by thresholding the image map and use it as the input to a 'Geodesic Active Contour' algorithm to find final liver boundary. We tested the proposed algorithm on non-contrast liver datasets. Assessment of the results proves that the proposed method is both robust, resistant to leakage, requires minimum level of interaction.
- 社団法人電子情報通信学会の論文
- 2009-05-21
著者
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Chen Yen-Wei
College of Information and Science, Ristumeikan University
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SATO Yoshinobu
Division of Image Analysis, Osaka University Graduate School of Medicine
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Hori Masatoshi
Department of Veterinary Pharmacology, Graduate School of Agriculture and Life Sciences, University
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Sato Yoshinobu
Division Of Image Analysis Graduate School Of Medicine Osaka University
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Chen Yen
College Of Information Science And Engineering Ritsumeikan University
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Foruzan Amir.
College Of Information Science And Engineering Ritsumeikan University:control And Intelligent Proces
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Zoroofi Reza
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineeri
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Furukawa Akira
Department of Radiology, Shiga University of Medical Science
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Yamamoto Shuji
Research Center For Cancer Prevention And Screening National Cancer Center
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Foruzan Amir
College of Information Science and Engineering, Ritsumeikan University
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Chen Y‐w
College Of Information Science And Engineering Ritsumeikan University
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Furukawa Akira
Department Of Radiology Shiga University Of Medical Science
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Hori Masatoshi
Department Of Radiology Graduate School Of Medicine Osaka University
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Hori Masatoshi
池田市立池田病院 消化器科
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Zoroofi Reza
Control And Intelligent Processing Center Of Excellence School Of Electrical And Computer Engineerin
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Zoroofi R
Control And Intelligent Processing Center Of Excellence School Of Electrical And Computer Engineerin
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Chen Yen-wei
College Of Information And Science Ristumeikan University
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Chen Yen-wei
College Of Information And Science Ritsumeikan University
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Sato Y
Division Of Image Analysis Graduate School Of Medicine Osaka University
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Yamamoto Shuji
大阪大学 医学系研究科保健学専攻
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Sato Yoshinobu
Division Of Digestive And General Surgery Department Of Surgery Niigata University Graduate School O
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Furukawa Akira
Department Of Chemical Pharmacology Toho University School Of Pharmaceutical Sciences
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Sato Yoshinobu
Division Of Image Analysis Department Of Medical Engineering Osaka University Graduate School Of Med
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Hori Masatoshi
Department Of Radiology Osaka University Graduate School Of Medicine
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