A computerized approach for estimating pulmonary nodule growth rates in three-dimensional thoracic CT images based on CT density histogram

Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Masahiko Kusumoto; Ryutaro Kakinuma D.D.S.; Kiyoshi Mori; Kozo Yamada; Hiroyuki Nishiyama; Kenji Eguchi M.D.; Masahiro Kaneko; Noriyuki Moriyama

doi:10.1117/12.595099

29 April 2005 A computerized approach for estimating pulmonary nodule growth rates in three-dimensional thoracic CT images based on CT density histogram

Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Masahiko Kusumoto, Ryutaro Kakinuma D.D.S., Kiyoshi Mori, Kozo Yamada, Hiroyuki Nishiyama, Kenji Eguchi M.D., Masahiro Kaneko, Noriyuki Moriyama

Author Affiliations +

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.595099
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

In research and development of computer-aided differential diagnosis, there is now a widespread interest in the use of nodule doubling time for measuring the volumetric changes of pulmonary nodule. To assess nodule status requires not only the measurement of volume changes but also one of nodule density variations. This paper proposes a computerized approach to measure nodule density variation inside small pulmonary nodule using CT images. The approach consists of five steps: (1) nodule segmentation, (2) computation of CT density histogram, (3) nodule classification based on CT density histogram and size, (4) computation of doubling time based on CT density histogram, and (5) classification between benign and malignant. Our approach was applied to follow-up scans of lung nodules. The preliminary experimental result demonstrated that our approach has a highly potential usefulness to assess the nodule evolution using high-resolution CT images.

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Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Masahiko Kusumoto, Ryutaro Kakinuma D.D.S., Kiyoshi Mori, Kozo Yamada, Hiroyuki Nishiyama, Kenji Eguchi M.D., Masahiro Kaneko, and Noriyuki Moriyama "A computerized approach for estimating pulmonary nodule growth rates in three-dimensional thoracic CT images based on CT density histogram", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.595099

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