Texture analysis of pulmonary parenchyma in normal and emphysematous lung

Renuka Uppaluri; Theophano Mitsa; Eric A. Hoffman; Geoffrey McLennan M.D.; Milan Sonka

doi:10.1117/12.237888

8 April 1996 Texture analysis of pulmonary parenchyma in normal and emphysematous lung

Renuka Uppaluri, Theophano Mitsa, Eric A. Hoffman, Geoffrey McLennan M.D., Milan Sonka

Proceedings Volume 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images; (1996) https://doi.org/10.1117/12.237888
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

Tissue characterization using texture analysis is gaining increasing importance in medical imaging. We present a completely automated method for discriminating between normal and emphysematous regions from CT images. This method involves extracting seventeen features which are based on statistical, hybrid and fractal texture models. The best subset of features is derived from the training set using the divergence technique. A minimum distance classifier is used to classify the samples into one of the two classes--normal and emphysema. Sensitivity and specificity and accuracy values achieved were 80% or greater in most cases proving that texture analysis holds great promise in identifying emphysema.

Citation Download Citation

Renuka Uppaluri, Theophano Mitsa, Eric A. Hoffman, Geoffrey McLennan M.D., and Milan Sonka "Texture analysis of pulmonary parenchyma in normal and emphysematous lung", Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); https://doi.org/10.1117/12.237888

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