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MDCT-based 3-D texture classification of emphysema and early smoking related lung pathologies.
- Source :
-
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2006 Apr; Vol. 25 (4), pp. 464-75. - Publication Year :
- 2006
-
Abstract
- Our goal is to enhance the ability to differentiate normal lung from subtle pathologies via multidetector row CT (MDCT) by extending a two-dimensional (2-D) texturebased tissue classification [adaptive multiple feature method (AMFM)] to use three-dimensional (3-D) texture features. We performed MDCT on 34 humans and classified volumes of interest (VOIs) in the MDCT images into five categories: EC, emphysema in severe chronic obstructive pulmonary disease (COPD); MC, mild emphysema in mild COPD; NC, normal appearing lung in mild COPD; NN, normal appearing lung in normal nonsmokers; and NS, normal appearing lung in normal smokers. COPD severity was based upon pulmonary function tests (PFTs). Airways and vessels were excluded from VOIs; 24 3-D texture features were calculated; and a Bayesian classifier was used for discrimination. A leave-one-out method was employed for validation. Sensitivity of the four-class classification in the form of 3-D/2-D was: EC: 85%/71%, MC: 90%/82%; NC: 88%/50%; NN: 100%/60%. Sensitivity and specificity for NN using a two-class classification of NN and NS in the form of 3-D/2-D were: 99%/72% and 100%/75%, respectively. We conclude that 3-D AMFM analysis of lung parenchyma improves discrimination compared to 2-D AMFM of the same VOIs. Furthermore, our results suggest that the 3-D AMFM may provide a means of discriminating subtle differences between smokers and nonsmokers both with normal PFTs.
- Subjects :
- Algorithms
Artifacts
Artificial Intelligence
Female
Humans
Information Storage and Retrieval methods
Male
Middle Aged
Pattern Recognition, Automated methods
Pulmonary Emphysema etiology
Radiation Dosage
Radiographic Image Enhancement instrumentation
Reproducibility of Results
Sensitivity and Specificity
Severity of Illness Index
Stochastic Processes
Tomography, X-Ray Computed instrumentation
Transducers
Imaging, Three-Dimensional methods
Pulmonary Emphysema classification
Pulmonary Emphysema diagnostic imaging
Radiographic Image Enhancement methods
Radiographic Image Interpretation, Computer-Assisted methods
Smoking adverse effects
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 0278-0062
- Volume :
- 25
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- IEEE transactions on medical imaging
- Publication Type :
- Academic Journal
- Accession number :
- 16608061
- Full Text :
- https://doi.org/10.1109/TMI.2006.870889