Presentation 2008/10/23
An automated distinction of DICOM image for lung cancer CAD
Hidenobu SUZUKI, Shinsuke SAITA, Mitsuru KUBO, Yoshiki KAWATA, Noboru NIKI, Hiromu NISHITANI, Hironobu OHMATSU, Kenji EGUCHI, Masahiro KANEKO, Noriyuki MORIYAMA,
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Abstract(in English) Automated distinction of medical images is an important preprocessing in Computer-Aided Diagnosis (CAD) systems. The CAD systems have been developed using medical image sets with specific scan conditions and body parts. In this paper, we describe an automated distinction of DICOM images as a preprocessing for lung cancer CAD system. Firstly, the textual meta information such as scan conditions of DICOM image is distinguished. Secondly, the DICOM image is set to distinguish the body parts which are detected by low cost image processing. The method is effective to the practical use of lung cancer CAD system in medical sites.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DICOM / Computer-aided Diagnosis / X-ray CT / Body part detection
Paper # MI2008-45
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Committee MI
Conference Date 2008/10/23(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) An automated distinction of DICOM image for lung cancer CAD
Sub Title (in English)
Keyword(1) DICOM
Keyword(2) Computer-aided Diagnosis
Keyword(3) X-ray CT
Keyword(4) Body part detection
1st Author's Name Hidenobu SUZUKI
1st Author's Affiliation Systems Innovation Engineering, Graduate School of Advanced Technology and Science, The University of Tokushima()
2nd Author's Name Shinsuke SAITA
2nd Author's Affiliation Institute of Technology and Science, The University of Tokushima Graduate School
3rd Author's Name Mitsuru KUBO
3rd Author's Affiliation Institute of Technology and Science, The University of Tokushima Graduate School
4th Author's Name Yoshiki KAWATA
4th Author's Affiliation Institute of Technology and Science, The University of Tokushima Graduate School
5th Author's Name Noboru NIKI
5th Author's Affiliation Institute of Technology and Science, The University of Tokushima Graduate School
6th Author's Name Hiromu NISHITANI
6th Author's Affiliation Institute of Health Biosciences, The University of Tokushima Graduate School
7th Author's Name Hironobu OHMATSU
7th Author's Affiliation National Cancer Center Hospital East
8th Author's Name Kenji EGUCHI
8th Author's Affiliation Teikyo University, School of Medicine
9th Author's Name Masahiro KANEKO
9th Author's Affiliation National Cancer Center Hospital
10th Author's Name Noriyuki MORIYAMA
10th Author's Affiliation National Cancer Research Center for Cancer Prevention and Screening
Date 2008/10/23
Paper # MI2008-45
Volume (vol) vol.108
Number (no) 271
Page pp.pp.-
#Pages 5
Date of Issue