Lung lobe volumetry as a reliable biomarker: methods for automatic extraction of lobes from CT scans, and fissure integrity scoring
Radiological Society of North America (RSNA) Scientific Assembly and Annual Meeting; Education Exhibit INE122
Abstract
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This 2014 RSNA education exhibit reviewed lung-lobe segmentation methods, their challenges in CT imaging, and the potential role of lung-lobe volume as an imaging biomarker. The exhibit was presented by Awais Mansoor, with five co-authors.
Summary
This education exhibit reviewed methods for extracting lung lobes from computed tomography (CT) scans and discussed fissure integrity scoring. Its stated teaching aims included explaining the potential clinical importance of lung-lobe volume as an imaging biomarker, surveying segmentation approaches, and identifying challenges when disease, limited image quality or resolution, and computational demands affect segmentation. The RSNA archive describes the work as an education exhibit presented in 2014; it does not establish a prospective clinical validation or a demonstrated biomarker result.
Cite this work
Awais Mansoor; Ulas Bagci; Ziyue Xu; Brent Foster; Georgios Z. Papadakis; Daniel Joseph Mollura (2014). Lung lobe volumetry as a reliable biomarker: methods for automatic extraction of lobes from CT scans, and fissure integrity scoring. Radiological Society of North America (RSNA) Scientific Assembly and Annual Meeting; Education Exhibit INE122 https://archive.rsna.org/2014/14015844.html
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