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Proceedings Paper

Computer-aided assessment of pulmonary disease in novel swine-origin H1N1 influenza on CT
Author(s): Jianhua Yao; Andrew J. Dwyer; Ronald M. Summers; Daniel J. Mollura
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Paper Abstract

The 2009 pandemic is a global outbreak of novel H1N1 influenza. Radiologic images can be used to assess the presence and severity of pulmonary infection. We develop a computer-aided assessment system to analyze the CT images from Swine-Origin Influenza A virus (S-OIV) novel H1N1 cases. The technique is based on the analysis of lung texture patterns and classification using a support vector machine (SVM). Pixel-wise tissue classification is computed from the SVM value. The method was validated on four H1N1 cases and ten normal cases. We demonstrated that the technique can detect regions of pulmonary abnormality in novel H1N1 patients and differentiate these regions from visually normal lung (area under the ROC curve is 0.993). This technique can also be applied to differentiate regions infected by different pulmonary diseases.

Paper Details

Date Published: 9 March 2011
PDF: 7 pages
Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79632W (9 March 2011); doi: 10.1117/12.878030
Show Author Affiliations
Jianhua Yao, National Institutes of Health (United States)
Andrew J. Dwyer, National Institutes of Health (United States)
Ronald M. Summers, National Institutes of Health (United States)
Daniel J. Mollura, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 7963:
Medical Imaging 2011: Computer-Aided Diagnosis
Ronald M. Summers; Bram van Ginneken, Editor(s)

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