Presentation 2012-01-20
Development of a lymph node detection method from 3D abdominal CT images using multi shape ellipsoidal structure detection filter
Masahiro ODA, Takayuki KITASAKA, Michitaka FUJIWARA, Kazunari MISAWA, Kensaku MORI,
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Abstract(in English) This paper proposes a lymph node detection method which utilizing a multi-shape and multi-scale ellipsoidal structure detection filter. Detection of the enlarged lymph nodes is required in diagnosis of metastatic cancer using a computer aided diagnosis system. Automated detection of the enlarged lymph nodes improves efficiency of cancer diagnosis. This paper describes a method for detecting gastric lymph nodes from abdominal CT images. In CT images, the lymph node has higher CT values than the surrounding regions. Shapes of the lymph nodes are sphere or ellipsoid. We utilized a multi-shape and multi-scale ellipsoidal structure detection filter based on local intensity structure analysis to detect the lymph nodes. A Hessian matrix is calculated from a polynomial which approximates a local CT value structure. We utilize three eigenvalues of the Hessian matrix in the detection filter. In a ellipsoidal structure, values of the eigenvalues correspond lengths of the long and short axes of the ellipsoidal structure. The detection filter outputs high values if the eigenvalues take particular values of the ellipsoidal structure. Experimental results using 6 cases of CT images showed that our method can detect 69.2% of lymph nodes.
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Keyword(in English) CT image / lymph node detection / stomach / ellipsoidal structure detection filter
Paper # MI2011-123
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Conference Information
Committee MI
Conference Date 2012/1/12(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) Development of a lymph node detection method from 3D abdominal CT images using multi shape ellipsoidal structure detection filter
Sub Title (in English)
Keyword(1) CT image
Keyword(2) lymph node detection
Keyword(3) stomach
Keyword(4) ellipsoidal structure detection filter
1st Author's Name Masahiro ODA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Takayuki KITASAKA
2nd Author's Affiliation Faculty of Information Science, Aichi Institute of Technology
3rd Author's Name Michitaka FUJIWARA
3rd Author's Affiliation Graduate School of Medicine, Nagoya University
4th Author's Name Kazunari MISAWA
4th Author's Affiliation Aichi Cancer Center
5th Author's Name Kensaku MORI
5th Author's Affiliation Graduate School of Information Science, Nagoya University:Information Strategy Office, Information and Communications Headquarters, Nagoya University
Date 2012-01-20
Paper # MI2011-123
Volume (vol) vol.111
Number (no) 389
Page pp.pp.-
#Pages 6
Date of Issue