A rule based technique for liver segmentation in CT data (医用画像)
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概要
- 論文の詳細を見る
Segmentation is a major step in liver image analysis and may help clinician to quantify the progression of liver diseases. A physician performs liver manual segmentation based on anatomical facts. We follow a similar approach in the proposed techniques. We first find the image slice corresponding to the largest cross-section of the liver. We regard it as the starting slice in segmentation. Using this slice, we estimate the intensity range of liver and apply the range used throughout the algorithm. We next extract bones and connect them to form a mask for liver region. By this mask, we remove some nonliver parts within the intensity range of liver. We then utilize several anatomical facts to convert gray-scale liver images to colored ones. Results reveal that the proposed technique outperforms other existing techniques in terms of speed, accuracy, sensitivity, and specificity.
- 社団法人電子情報通信学会の論文
- 2008-01-18
著者
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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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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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Yamamoto Shuji
Research Center For Cancer Prevention And Screening National Cancer Center
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FORUZAN Amir
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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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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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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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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