US EPA

6873919 

Journal Article 

Computer-based objective quantitative assessment of pulmonary parenchyma via X-ray CT 

Uppaluri, R; Mclennan, G; Sonka, M; Hoffman, EA; , 

1998 

SPIE-INT SOC OPTICAL ENGINEERING 

BELLINGHAM 

377-383 

WOS:000075286400039 

This paper is a review of our recent studies using a texture-based tissue characterization method called the Adaptive Multiple Feature Method. This computerized method is automated and performs tissue classification based upon the training acquired on a set of representative examples. The AMFM has been applied to several different discrimination tasks including normal subjects, subjects with interstitial lung disease, smokers, asbestos-exposed subjects, and subjects with cystic fibrosis. The AMFM has also been applied to data acquired using different scanners and scanning protocols. The AMFM has shown to be successful and better than other existing techniques in discriminating the tissues under consideration. We demonstrate that the AMFM is considerably more sensitive and specific in characterizing the lung, especially in the presence of mixed pathology, as compared to more commonly used methods. Evidence is presented suggesting that the AMFM is highly sensitive to some of the earliest disease processes. 

Hoffman, EA; 

0-8194-2782-9 

Conference on Physiology and Function from Multidimensional Images - Medical Imaging 1998 

SAN DIEGO, CA