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dc.contributor.authorOzkan, Haydar; Osman, Onur; Sahin, Sinan; Boz, Ali Fuat
dc.date.accessioned2021-03-14T19:17:51Z
dc.date.available2021-03-14T19:17:51Z
dc.date.issued23.03.2014
dc.identifier.issn0169-2607
dc.identifier.urihttp://hdl.handle.net/20.500.12645/28533
dc.description.abstractIn this paper, we propose a new computer-aided detection (CAD) - based method to detect pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung vessel segmentation is the main objective to provide high sensitivity in PE detection, this method performs accurate lung vessel segmentation. To concatenate clogged vessels due to PEs, the starting region of PEs and some reference points (RPs) are determined. These RPs are detected according to the fixed anatomical structures. After lung vessel tree is segmented, the region, intensity, and size of PEs are used to distinguish them. We used the data sets that have heart disease or abnormal tissues because of lung disease except PE in this work. According to the results, 428 of 450 PEs, labeled by the radiologists from 33 patients, have been detected. The sensitivity of the developed system is 95.1% at 14.4 false positive per data set (FP/ds). With this performance, the proposed CAD system is found quite useful to use as a second reader by the radiologists. (c) 2013 Elsevier Ireland Ltd. All rights reserved.
dc.language.isoen
dc.subjectComputed tomography angiography (CTA); Lung segmentation; Lung vessel segmentation; Pulmonary embolism (PE); Computer aided detection (CAD)
dc.titleA novel method for pulmonary embolism detection in CTA images
dc.typeArticle
dc.identifier.wosWOS:000331726500005
dc.identifier.doi10.1016/j.cmpb.2013.12.014
dc.identifier.pubmed24440133
dc.identifier.eissn1872-7565


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