Automatic slice image matching algorithm for comparative reading using data of the pulmonary structure

Takuya Yamamoto; Mitsuru Kubo; Noboru Niki; Kenji Eguchi; Hironobu Ohmatsu; Ryutaro Kakinuma; Masahiro Kaneko; Masahiro Kusumoto; Noriyuki Moriyama; Kiyoshi Mori; Hiroyuki Nishiyama

doi:10.1117/12.535115

12 May 2004 Automatic slice image matching algorithm for comparative reading using data of the pulmonary structure

Takuya Yamamoto, Mitsuru Kubo, Noboru Niki, Kenji Eguchi, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiro Kusumoto, Noriyuki Moriyama, Kiyoshi Mori, Hiroyuki Nishiyama

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.535115
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

The lung cancer is very difficult to treat when condition of disease reaches an advanced stage. Therefore, the early detection and the early treatment by the mass cscreening are important. Now, the3 mass screening using the chest X-rays film is performed, and its detection rate is low. Recently, mass screening for lung cancer started using helical CT. However, since each subject has about 30 images, there is concern about the increase ofa burden to a physician. This comparative reading system solves difficulties of efficient display with the past and present images. But, automatic slice-image-matching is difficult by computer, since the states of the lungs at the time of photography differ from each other. This research analyzed change of the lungs between images with time and proposed automatic slice image mtching algorithm for comparative reading.

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Takuya Yamamoto, Mitsuru Kubo, Noboru Niki, Kenji Eguchi, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiro Kusumoto, Noriyuki Moriyama, Kiyoshi Mori, and Hiroyuki Nishiyama "Automatic slice image matching algorithm for comparative reading using data of the pulmonary structure", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535115

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