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Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field model | IEEE Conference Publication | IEEE Xplore

Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field model


Abstract:

Determining the extent of pulmonary emphysema with quantitative computed tomography commonly relies on fixed intensity threshold values. However, the reliability of such ...Show More

Abstract:

Determining the extent of pulmonary emphysema with quantitative computed tomography commonly relies on fixed intensity threshold values. However, the reliability of such measures is limited due to variability in parenchymal intensities and noise levels in CT images. In this work, we present a novel method for emphysema quantification, based on a lung tissue segmentation with a Hidden Markov Measure Field model. By adapting to the intensity distribution present in the input image, the method provides a more robust emphysema index than standard densitometric approaches. The focus of this study is to show robustness between imaging protocols, enabling the comparison of emphysema measures between studies. The method can have a significant impact in longitudinal analysis and prediction of emphysema. In addition, the method shows promise in delineating emphysematous regions, potentially facilitating subtyping of the disease.
Date of Conference: 07-11 April 2013
Date Added to IEEE Xplore: 15 July 2013
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Conference Location: San Francisco, CA, USA

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