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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  Convex analysis and separation of composite signals in DCE-MRI


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/68503


    Title: Convex analysis and separation of composite signals in DCE-MRI
    Authors: Li Chen;Tsung-Han Chan;Choyke, P.L.;Chong-Yung Chi;Ge Wang;Yue Wang
    教師: 祈忠勇
    Date: 2008
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Relation: 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, May 14, 2008 - May 17, 2008
    Keywords: Isomers
    Laws and legislation
    Medical imaging
    Technical presentations
    Abstract: Dynamic functional imaging promises powerful tools for the visualization and elucidation of important disease-causing biological processes, where the pixels often represent a composite of multiple biomarkers independent of spatial resolution. This study exploits both blind source separation and imagery marker characteristics to develop a hybrid method for the separation of mixed yet correlated biomarker distributions in DCE-MRI. A compartment latent variable model is constructed upon which a novel convex analysis framework is proposed to provide a close-form algebraic solution to separating composite markers with non-negativity and well-grounded points. A unique non-negative clustered component analysis is further developed to explicitly consider both partial volume effect and noise contamination. Experimental results show promising and robust extraction of time activity curves and vascular marker images in agreement with biomedical expectations.
    Relation Link: http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/68503
    Appears in Collections:[電機工程學系] 會議論文

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