Pulmonary organ analysis method and its evaluation based on thoracic thin-section CT images

Akira Tanaka; Tetsuya Tozaki; Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Ryutaro Kakinuma; Masahiro Kaneko; Kenji Eguchi; Noriyuki Moriyama

doi:10.1117/12.348526

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21 May 1999 Pulmonary organ analysis method and its evaluation based on thoracic thin-section CT images

Akira Tanaka, Tetsuya Tozaki, Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Kenji Eguchi, Noriyuki Moriyama

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Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348526
Event: Medical Imaging '99, 1999, San Diego, CA, United States

Abstract

To diagnosis the lung cancer as to determine if it has malignant or benign nature, it is important to understand the spatial relationship among the abnormal nodule and other pulmonary organs. But the lung field has very complicated structure, so it is difficult to understand the connectivity of the pulmonary organs using Thin-section CT images. This method consists of two parts. The first is the classification of the pulmonary structure based on the anatomical information. The second is the quantitative analysis that is then applicable to differential diagnosis, such as differentiation of malignant or benign abnormal tissue.

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Akira Tanaka, Tetsuya Tozaki, Yoshiki Kawata, Noboru Niki, Hironobu Ohmatsu, Ryutaro Kakinuma, Masahiro Kaneko, Kenji Eguchi, and Noriyuki Moriyama "Pulmonary organ analysis method and its evaluation based on thoracic thin-section CT images", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348526

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