19 May 2003 Innovation of PACS for computer-aided diagnosis with functions to assist comparative reading for lung cancer based on multi-helical CT images
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Abstract
The development of multislice helical CT scanners that can image the lungs in a short time has created interest in the use of mass screening for lung cancer. In the mass screening process, helical CT images are acquired for the entire lung area. Therefore, mass screening based on helical CT images requires a considerable number of images to be read. It is this time-consuming step that makes the use of helical CT for mass screening impractical at present. To overcome this problem, we have developed a newly PACS for a computer-aided diagnosis (CAD) system to automatically detect suspicious regions in chest CT images that can store the huge amounts of data obtained in multi-slice CT studies and permit image comparison without films, and have developed a newly mobile CT system for CAD system. This newly developed CAD system is provided with a comparison review support function employing an automatic slice-matching algorithm that can calculate the difference in slice number between the present and past CT images. This makes it much easier to read images, since the corresponding CT slices from the present and past studies can be displayed simultaneously on the CRT monitor screen. The experimental results indicate that the CAD system can be effectively used in clinical practice to increase the speed and accuracy of routine diagnosis.
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Hitoshi Sato, Hitoshi Sato, Noboru Niki, Noboru Niki, Kiyoshi Mori, Kiyoshi Mori, Kenji Eguchi, Kenji Eguchi, Masahiro Kaneko, Masahiro Kaneko, Noriyuki Moriyama, Noriyuki Moriyama, Hironobu Ohmatsu, Hironobu Ohmatsu, Ryutaro Kakinuma, Ryutaro Kakinuma, Hideo Masuda, Hideo Masuda, Suguru Machida, Suguru Machida, Michizou Sasagawa, Michizou Sasagawa, } "Innovation of PACS for computer-aided diagnosis with functions to assist comparative reading for lung cancer based on multi-helical CT images", Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); doi: 10.1117/12.480656; https://doi.org/10.1117/12.480656
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