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9 May 2002 Detection algorithm of lung cancer candidate nodules on multislice CT images
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Abstract
Recently, multi-slice helical CT technology was developed. Unlike the conventional helical CT, we can obtain CT images of two or more slices with 1 time of scan. Therefore, we can get many pictures with a clear contrast images and thin slice images in one time of scanning. The nodule is expected to be picture more clearly, and it is expected an high diagnostic ability of screening by the expert physicians. Multi-slice CT is z-axial high-contrast resolution, but the number of images is 10 times the single-slice helical CT. Therefore, the development of a diagnosis support system is expected to diagnose these images. We have developed a computer aided diagnosis (CAD) system to detect the lung cancer from multi-slice CT images. Using the conventional algorithm, it was difficult to detect the ground glass shadow and the nodules in contact with the blood vessel. The purpose of this study is to develop a detection algorithm using the 3-D filter by orientation map of gradient vectors and the 3-D distance transformation.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomokazu Oda, Mitsuru Kubo, Yoshiki Kawata, Noboru Niki, Kenji Eguchi, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Masahiko Kusumoto, Noriyuki Moriyama, Kiyoshi Mori, and Hiroyuki Nishiyama "Detection algorithm of lung cancer candidate nodules on multislice CT images", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467099
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