Medical Imaging Technology
Online ISSN : 2185-3193
Print ISSN : 0288-450X
ISSN-L : 0288-450X
Selected Papers from the JAMIT 2012Annual Meeting <Papers>
Segmentation Algorithm for GGO Nodules from Chest CT Volumes Using Boosting and Graph Cuts
Hiroyuki SEKIGUCHIAkinobu SHIMIZUKoji FUJIMOTOMasahiro YAKAMIRyo SAKAMOTOTakeshi KUBOKoji SAKAIYutaka EMOTOKaori TOGASHI
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2012 Volume 30 Issue 4 Pages 181-191

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Abstract
Accurate segmentation of lesions is an essential process in CAD systems for differential diagnosis. However, segmentation of ground glass opacity (GGO) nodules, most of which are likely to be malignant, is a difficult task due to their poorly defined margins. We have developed a new segmentation algorithm for GGO nodules that enhances lesions by applying a boosting algorithm based on CT value features and extracts GGO nodules by graph cuts. Experiments to validate the proposed algorithm were conducted using data for 100 GGO nodules acquired at Kyoto University Hospital, and the Jaccard index between the extracted region and the true region was computed by a 10-fold cross-validation test. The Jaccard index of conventional graph cuts using CT data only was 40.7%, and the binarization results for lesions enhanced by a boosting algorithm showed a Jaccard index of 67.3%. In contrast, the proposed method, which combines enhancement processing with graph cuts, achieved a Jaccard index of 72.2%, which is significantly higher than the above performance indices.
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© 2012 The Japanese Society of Medical Imaging Technology
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