Conference proceeding
ROBUST QUANTIFICATION OF PULMONARY EMPHYSEMA WITH A HIDDEN MARKOV MEASURE FIELD MODEL
2013 IEEE 10th International Symposium on Biomedical Imaging (isbi), pp.382-385
IEEE International Symposium on Biomedical Imaging
01/01/2013
DOI: 10.1109/ISBI.2013.6556492
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.
Details
- Title: Subtitle
- ROBUST QUANTIFICATION OF PULMONARY EMPHYSEMA WITH A HIDDEN MARKOV MEASURE FIELD MODEL
- Creators
- Yrjoe Haeme - Columbia Univ, Dept Biomed Engn, New York, NY 10027 USAElsa D. Angelini - Columbia UniversityEric A. Hoffman - University of IowaR. Graham Barr - Columbia UniversityAndrew F. Laine - Columbia University
- Resource Type
- Conference proceeding
- Publication Details
- 2013 IEEE 10th International Symposium on Biomedical Imaging (isbi), pp.382-385
- Publisher
- IEEE
- Series
- IEEE International Symposium on Biomedical Imaging
- DOI
- 10.1109/ISBI.2013.6556492
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Number of pages
- 4
- Grant note
- HL075476; HL077612; HL083091 / NIH/NHLBI R01s International Fulbright Science and Technology Award at the U.S. Department of State
- Language
- English
- Date published
- 01/01/2013
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Internal Medicine; Radiology
- Record Identifier
- 9984318700002771
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