Adaptive multiple feature method (AMFM) for early detecton of parenchymal pathology in a smoking population

Renuka Uppaluri; Geoffrey McLennan M.D.; Paul Enright; James Standen; Pamela Boyer-Pfersdorf; Eric A. Hoffman

doi:10.1117/12.312563

3 July 1998 Adaptive multiple feature method (AMFM) for early detecton of parenchymal pathology in a smoking population

Renuka Uppaluri, Geoffrey McLennan M.D., Paul Enright, James Standen, Pamela Boyer-Pfersdorf, Eric A. Hoffman

Proceedings Volume 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images; (1998) https://doi.org/10.1117/12.312563
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

Application of the Adaptive Multiple Feature Method (AMFM) to identify early changes in a smoking population is discussed. This method was specifically applied to determine if differences in CT images of smokers (with normal lung function) and non-smokers (with normal lung function) could be found through computerized texture analysis. Results demonstrated that these groups could be differentiated with over 80.0% accuracy. Further, differences on CT images between normal appearing lung from non-smokers (with normal lung function) and normal appearing lung from smokers (with abnormal lung function) were also investigated. These groups were differentiated with over 89.5% accuracy. In analyzing the whole lung region by region, the AMFM characterized 38.6% of a smoker lung (with normal lung function) as mild emphysema. We can conclude that the AMFM detects parenchymal patterns in the lungs of smokers which are different from normal patterns occurring in healthy non-smokers. These patterns could perhaps indicate early smoking-related changes.

Citation Download Citation

Renuka Uppaluri, Geoffrey McLennan M.D., Paul Enright, James Standen, Pamela Boyer-Pfersdorf, and Eric A. Hoffman "Adaptive multiple feature method (AMFM) for early detecton of parenchymal pathology in a smoking population", Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); https://doi.org/10.1117/12.312563

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