An automated distinction of DICOM image for lung cancer CAD(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
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概要
- 論文の詳細を見る
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. However, varied examinations are performed in medical sites. The specification of the examination is contained into DICOM textual meta information. Most DICOM textual meta information can be considered reliable, however the body part information cannot always be considered reliable. In this paper, we describe an automated distinction of DICOM images as a preprocessing for lung cancer CAD system. Our approach uses DICOM textual meta information and low cost image processing. 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 identified by image processing. The identification of body parts is based on anatomical structure which is represented by features of three regions, body tissue, bone, and air. The method is effective to the practical use of lung cancer CAD system in medical sites
- 社団法人電子情報通信学会の論文
- 2009-01-12
著者
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Ohmatsu Hironobu
National Cancer Center Hospital East
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Ohmatsu Hironobu
National Cancer Center Hospital East Kashiwa Jpn
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Ohmatsu Hironobu
国立がんセンター東病院
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Moriyama Noriyuki
National Cancer Center
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Ohmatsu Hironobu
国立がんセンター東病院 病理
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Eguchi Kenji
Teikyo University School Of Medicine
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Kaneko M
Course In Electronic Engineering Graduate School Of Electro-communications The University Of Electro
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Kaneko Masahiro
National Cancer Center Hospital
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Moriyama N
National Cancer Research Center For Cancer Prevention And Screening
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Moriyama Noriyuki
National Cancer Center Tokyo Jpn
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Kawata Yoshiki
Institute of Technology and Science, the University of Tokushima
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Niki Noboru
Institute of Technology and Science, the University of Tokushima
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Nishitani Hiromu
Institute of Health Biosciences, the University of Tokushima. Graduate School
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Niki N
Institute Of Technology And Science The University Of Tokushima
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Kubo Mitsuru
Institute Of Technology And Science The University Of Tokushima Graduate School
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Kawata Yoshiki
Institute Of Technology And Science The University Of Tokushima
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Kawata Yoshiki
Dept. Of Optical Science University Of Tokushima
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Kishi Yoshifumi
System Innovation Engineering Graduate School Of Advanced Technology And Science The University Of T
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SUZUKI Hidenobu
Systems Innovation Engineering, Graduate School of Advanced Technology and Science, The University o
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SAITA Shinsuke
Institute of Technology and Science, The University of Tokushima Graduate School
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Saita Shinsuke
Institute Of Technology And Science The University Of Tokushima Graduate School
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Nishitani Hiromu
Institute Of Health Biosciences The University Of Tokushima. Graduate School
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Kubo Mitsuru
System Innovation Engineering University Of Tokushima:institute Of Technology And Science University
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Suzuki Hidenobu
Systems Innovation Engineering Graduate School Of Advanced Technology And Science The University Of
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Moriyama Noriyuki
Screening Technology And Development Division Research Center For Cancer Prevention And Screening National Cancer Center
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