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Accurately extracting the airway tree is of utmost importance to correctly analyze CT images of the lungs. A survey of published methods reveals the existence of a trade-off between sensitivity -number of airway branches found- and accuracy -how much parenchymal leakage occurs-. In this paper, we present an algorithm for robust airway segmentation that attains both high sensitivity and accuracy. This...
It has been shown that employing multiple atlas images improves segmentation accuracy in atlas-based medical image segmentation. Each atlas image is registered to the target image independently and the calculated transformation is applied to the segmentation of the atlas image to obtain a segmented version of the target image. Several independent candidate segmentations result from the process, which...
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