Automated assessment of small airway disease from low-dose lung CT: a preliminary study

Bjorn Dittmer-Roche; Henry Rusinek; Jane P. Ko; Georgeann McGuinness; David Naidich M.D.

doi:10.1117/12.479986

5 June 2003 Automated assessment of small airway disease from low-dose lung CT: a preliminary study

Bjorn Dittmer-Roche, Henry Rusinek, Jane P. Ko, Georgeann McGuinness, David Naidich M.D.

Proceedings Volume 5030, Medical Imaging 2003: Physics of Medical Imaging; (2003) https://doi.org/10.1117/12.479986
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Bjorn Dittmer-Roche, Henry Rusinek, Jane P. Ko, Georgeann McGuinness, and David Naidich M.D. "Automated assessment of small airway disease from low-dose lung CT: a preliminary study", Proc. SPIE 5030, Medical Imaging 2003: Physics of Medical Imaging, (5 June 2003); https://doi.org/10.1117/12.479986

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