Abstract
In this paper we present a procedure to extract bronchus area from 3D CT images of lung taken by helical CT scanner and to visualize it as a 3D shaded image. The extraction procedure consists of 3D region growing with the parameters adjusted automatically and is performed fast by using 3D painting algorithm. The result is visualized by computer graphics workstation, and the bronchus is observed from the inside just like a simulated bronchus endoscope freely without any pain. We call this way of visualization "navigation".
Cite
CITATION STYLE
Mori, K., Hasegawa, J. I., Toriwaki, J. I., Anno, H., & Katada, K. (1995). Automated extraction and visualization of bronchus from 3D CT images of lung. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 905, pp. 542–548). Springer Verlag. https://doi.org/10.1007/978-3-540-49197-2_71
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