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Lung Segmentation: Applications in Chest Radiology

Issue: Vol.2, No.2 - January 2003

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Article Type: Manuscript

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  1. Dr Samuel G Armato III
    PhD
    Assistant Professor of Radiology, Department of Radiology, The University of Chicago,

Computer-aided diagnostic schemes are being developed to assist radiologists in their medical decision-making tasks. Researchers at The University of Chicago are developing computerized techniques to evaluate chest radiographs and mammograms for potential abnormalities, including cancer. Automated segmentation of the lung fields usually initiates advanced schemes designed to detect pathology in chest radiographs. Details of one such segmentation scheme and its direct application to quantitative image analysis are discussed along with measures of the accuracy of the resulting lung segmentation contours. Lung segmentation in computed tomography (CT) scans is addressed as an initial step towards the automated three-dimensional detection of lung nodules.

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