Image-guided decision support system for pulmonary nodule classification in 3D thoracic CT images

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

doi:10.1117/12.533605

12 May 2004 Image-guided decision support system for pulmonary nodule classification in 3D thoracic CT images

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

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.533605
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

The purpose of this study is to develop an image-guided decision support system that assists decision-making in clinical differential diagnosis of pulmonary nodules. This approach retrieves and displays nodules that exhibit morphological and internal profiles consistent to the nodule in question. It uses a three-dimensional (3-D) CT image database of pulmonary nodules for which diagnosis is known. In order to build the system, there are following issues that should be solved: 1) to categorize the nodule database with respect to morphological and internal features, 2) to quickly search nodule images similar to an indeterminate nodule from a large database, and 3) to reveal malignancy likelihood computed by using similar nodule images. Especially, the first problem influences the design of other issues. The successful categorization of nodule pattern might lead physicians to find important cues that characterize benign and malignant nodules. This paper focuses on an approach to categorize the nodule database with respect to nodule shape and CT density patterns inside nodule.

Citation Download Citation

Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Masahiro Kusumoto, Ryutaro Kakinuma, Kiyoshi Mori, Kozo Yamada, Hiroyuki Nishiyama, Kenji Eguchi, Masahiro Kaneko, and Noriyuki Moriyama "Image-guided decision support system for pulmonary nodule classification in 3D thoracic CT images", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.533605

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