Quantitative analysis for differential diagnosis of lung cancer on blood vessel connectivity using thoracic 3D CT images

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

doi:10.1117/12.383388

20 April 2000 Quantitative analysis for differential diagnosis of lung cancer on blood vessel connectivity using thoracic 3D CT images

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

Author Affiliations +

Proceedings Volume 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images; (2000) https://doi.org/10.1117/12.383388
Event: Medical Imaging 2000, 2000, 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 "Quantitative analysis for differential diagnosis of lung cancer on blood vessel connectivity using thoracic 3D CT images", Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); https://doi.org/10.1117/12.383388

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