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Technical Program
Paper Detail
| Paper: | MP-P4.2 |
| Session: | Biomedical Image Reconstruction |
| Time: | Monday, October 9, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
AUTOMATIC DETECTION OF TRAM HRCT ON HRCT IMAGES |
| Authors: |
Mamatha Rudrapatna; University of New South Wales | | | | | Prinith Amaratunga; University of New South Wales | | | | | Mithun Prasad; University of New South Wales | | | | | Arcot Sowmya; University of New South Wales | | | | | Peter Wilson; I-Med Network Ltd | | |
| Abstract: |
On High Resolution Computed Tomography (HRCT) images, dilated airways appear as two parallel lines that resemble tram tracks, when they lie in the plane of scan. Tram tracks, when visible, are characteristic of bronchiectasis, a disease caused by the irreversible dilatation of the bronchial tree. Detection of such patterns provides valuable diagnostic information. In this work, semi-supervised learning together with image analysis techniques have been used to detect tram tracks on HRCT images. The approach was tested on 1091 HRCT images belonging to 54 patients, and the results visually validated by radiologists. Sensitivity and specificity of 80% and 91% respectively were achieved. |
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