Presentation 2004/1/18
Automated Detection Method for Colonic Polyps by Using Complex Partial Correlation Coefficient (Medical Imaging))
Keiko HISAYAMA, Daisuke FUKUOKA, Takeshi HARA, Toshihiro OGURA, Hiroshi FUJITA,
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Abstract(in English) We have been developing a computer-aided detection (CAD) system for detecting colonic polyps in CT colonography. The CAD scheme consists of the following two main steps : (1) producing cross-sectional images along a centerline of colon region and (2) detecting colonic polyps in applying complex partial correlation (PARCOR) coefficient. As a result, the sensitivity was 100%(9/9) with 36 false positives (FPs) per case in 7 clinical cases. This result indicates that our proposed method may be effective for polyp detection.
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Keyword(in English) computer-aided detection (CAD) / colonic polyps / complex partial correlation (PARCOR) coefficient
Paper # MI2003-103
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Committee MI
Conference Date 2004/1/18(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automated Detection Method for Colonic Polyps by Using Complex Partial Correlation Coefficient (Medical Imaging))
Sub Title (in English)
Keyword(1) computer-aided detection (CAD)
Keyword(2) colonic polyps
Keyword(3) complex partial correlation (PARCOR) coefficient
1st Author's Name Keiko HISAYAMA
1st Author's Affiliation Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science, Graduate School of Medicine, Gifu University()
2nd Author's Name Daisuke FUKUOKA
2nd Author's Affiliation Department of Electrical and Computer Engineering, Gifu National College of Technology
3rd Author's Name Takeshi HARA
3rd Author's Affiliation Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science, Graduate School of Medicine, Gifu University
4th Author's Name Toshihiro OGURA
4th Author's Affiliation Department of Radiological Technology, Gunma Prefectural College of Health Sciences
5th Author's Name Hiroshi FUJITA
5th Author's Affiliation Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science, Graduate School of Medicine, Gifu University
Date 2004/1/18
Paper # MI2003-103
Volume (vol) vol.103
Number (no) 599
Page pp.pp.-
#Pages 4
Date of Issue