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Proceedings Paper

Automated assessment of small airway disease from low-dose lung CT: a preliminary study
Author(s): Bjorn Dittmer-Roche; Henry Rusinek; Jane P. Ko; Georgeann McGuinness; David Naidich
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Paper Abstract

Air trapping is a prominent finding in small airway disease (SAD) of the lungs. To investigate the feasibility of accurate, automated assessment of air-trapping from low-dose CT, we compare visual scoring by expert radiologists to a conventional method of automated assessment as well as two novel methods. The conventional method, the "density mask" method, has been reported to correlate weakly but significantly with visual scoring on normal-dose CT. While we were unable to reproduce these results on our low-dose scans, our two novel methods showed some promise. More study on larger data sets is required to determine the optimal analysis method.

Paper Details

Date Published: 5 June 2003
PDF: 11 pages
Proc. SPIE 5030, Medical Imaging 2003: Physics of Medical Imaging, (5 June 2003); doi: 10.1117/12.479986
Show Author Affiliations
Bjorn Dittmer-Roche, New York Univ. (United States)
Henry Rusinek, New York Univ. (United States)
Jane P. Ko, New York Univ. (United States)
Georgeann McGuinness, New York Univ. (United States)
David Naidich, New York Univ. (United States)


Published in SPIE Proceedings Vol. 5030:
Medical Imaging 2003: Physics of Medical Imaging
Martin J. Yaffe; Larry E. Antonuk, Editor(s)

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