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Proceedings Paper

A probabilistic model of emphysema based on granulometry analysis
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Paper Abstract

Emphysema is associated with the destruction of lung parenchyma, resulting in abnormal enlargement of airspaces. Accurate quantification of emphysema is required for a better understanding of the disease as well as for the assessment of drugs and treatments. In the present study, a novel method for emphysema characterization from histological lung images is proposed. Elastase-induced mice were used to simulate the effect of emphysema on the lungs. A database composed of 50 normal and 50 emphysematous lung patches of size 512 x 512 pixels was used in our experiments. The purpose is to automatically identify those patches containing emphysematous tissue. The proposed approach is based on the use of granulometry analysis, which provides the pattern spectrum describing the distribution of airspaces in the lung region under evaluation. The profile of the spectrum was summarized by a set of statistical features. A logistic regression model was then used to estimate the probability for a patch to be emphysematous from this feature set. An accuracy of 87% was achieved by our method in the classification between normal and emphysematous samples. This result shows the utility of our granulometry-based method to quantify the lesions due to emphysema.

Paper Details

Date Published: 19 November 2013
PDF: 10 pages
Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 892211 (19 November 2013); doi: 10.1117/12.2035478
Show Author Affiliations
J. V. Marcos, Spanish National Research Council (Spain)
R. Nava, Univ. Nacional Autónoma de México (Mexico)
G. Cristobal, Spanish National Research Council (Spain)
A. Munoz-Barrutia, Univ. of Navarra (Spain)
B. Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)
C. Ortiz-de-Solórzano, Univ. of Navarra (Spain)

Published in SPIE Proceedings Vol. 8922:
IX International Seminar on Medical Information Processing and Analysis
Jorge Brieva; Boris Escalante-Ramírez, Editor(s)

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