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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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Enlargement of the lateral ventricles have been identified as a surrogate marker of neurological disorders.
Quantitative measure of the lateral ventricle from MRI would enable earlier and more accurate clinical diagnosis in monitoring disease progression. Even though it requires an automated or semi-automated segmentation method for objective quantification, it is difficult to define lateral ventricles due to insufficient contrast and brightness of structural imaging. In this study, we proposed a fully automated lateral ventricle segmentation method based on a graph cuts algorithm combined with atlas-based segmentation and connected component labeling. Initially, initial seeds for graph cuts were defined by atlas-based segmentation (ATS). They were adjusted by partial volume images in order to provide accurate a priori information on graph cuts. A graph cuts algorithm is to finds a global minimum of energy with minimum cut/maximum flow algorithm function on graph. In addition, connected component labeling used to remove false ventricle regions. The proposed method was validated with the well-known tools using the dice similarity index, recall and precision values. The proposed method was significantly higher dice similarity index (0.860 ± 0.036, p < 0.001) and recall (0.833 ± 0.037, p < 0.001) compared with other tools. Therefore, the proposed method yielded a robust and reliable segmentation result.
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참고문헌 (29)
참고문헌 신청
A. P. Zijdenbos / 2002 / Automatic"pipeline"analysis of 3-D MRI data for clinical trials : application to multiple sclerosis / IEEE Trans Med Imaging 21:1280~1291
J. Tohka / 2004 / Fast and robust parameter estimation for statistical partial volume models in brain MRI / Neuroimage 23:84~97
M. J. Firbank / 2008 / Validation of a fully automated hippocampal segmentation method on patients with dementia / Hum Brain Mapp 29:1442~1449
D. LR / 1945 / Measures of the amount of ecologic association between species / Ecology 26:297~302
R. VV / 1989 / A critical investigation of recall and precision as measures of retrieval-system performance / Acm Transactions on Information Systems 7:205~229
J. Tohka / 2004 / Fast and robust parameter estimation for statistical partial volume models in brain MRI / Neuroimage 23:84~97
M. J. Firbank / 2008 / Validation of a fully automated hippocampal segmentation method on patients with dementia / Hum Brain Mapp 29:1442~1449
D. LR / 1945 / Measures of the amount of ecologic association between species / Ecology 26:297~302
R. VV / 1989 / A critical investigation of recall and precision as measures of retrieval-system performance / Acm Transactions on Information Systems 7:205~229
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