Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study
Dynamic contrast-enhanced (DCE) imaging is a functional imaging technique that can be used to assess tumor angiogenesis and yields quantitative estimates of tissue microcirculatory parameters by tracer kinetic model analysis. In this study, we explored the possible relationships between parameters o...
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sg-ntu-dr.10356-846622020-03-07T13:24:45Z Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study Li, T. H. Koh, T. S. Thng, C. H. Wei, X. Y. Zhao, J. H. Cheong, L. H. D. Lim, C. C. T. School of Electrical and Electronic Engineering Spring Congress on Engineering and Technology (2012 : Xi'an, China) Dynamic contrast-enhanced (DCE) imaging is a functional imaging technique that can be used to assess tumor angiogenesis and yields quantitative estimates of tissue microcirculatory parameters by tracer kinetic model analysis. In this study, we explored the possible relationships between parameters of two tracer kinetic models, the generalized kinetic and distributed parameter models, by comparing these models on DCE CT datasets of actual patient study cases. Understanding the use of these models and the physiological meaning of their parameters would improve the interpretation and assessment of anti-angiogenic drug trials by DCE imaging. 2013-07-25T04:30:24Z 2019-12-06T15:49:02Z 2013-07-25T04:30:24Z 2019-12-06T15:49:02Z 2012 2012 Conference Paper Li, T. H., Koh, T. S., Thng, C. H., Wei, X. Y., Zhao, J. H., Cheong, L. H. D., et al. (2012). Parameters Derived from the Generalized Kinetic and Distributed Parameter Models: A Perfusion CT Study. 2012 Spring Congress on Engineering and Technology. https://hdl.handle.net/10356/84662 http://hdl.handle.net/10220/12208 10.1109/SCET.2012.6341926 en © 2012 IEEE. |
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Dynamic contrast-enhanced (DCE) imaging is a functional imaging technique that can be used to assess tumor angiogenesis and yields quantitative estimates of tissue microcirculatory parameters by tracer kinetic model analysis. In this study, we explored the possible relationships between parameters of two tracer kinetic models, the generalized kinetic and distributed parameter models, by comparing these models on DCE CT datasets of actual patient study cases. Understanding the use of these models and the physiological meaning of their parameters would improve the interpretation and assessment of anti-angiogenic drug trials by DCE imaging. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Li, T. H. Koh, T. S. Thng, C. H. Wei, X. Y. Zhao, J. H. Cheong, L. H. D. Lim, C. C. T. |
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Conference or Workshop Item |
author |
Li, T. H. Koh, T. S. Thng, C. H. Wei, X. Y. Zhao, J. H. Cheong, L. H. D. Lim, C. C. T. |
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Li, T. H. Koh, T. S. Thng, C. H. Wei, X. Y. Zhao, J. H. Cheong, L. H. D. Lim, C. C. T. Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study |
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Li, T. H. |
title |
Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study |
title_short |
Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study |
title_full |
Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study |
title_fullStr |
Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study |
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Parameters derived from the generalized kinetic and distributed parameter models: a perfusion CT study |
title_sort |
parameters derived from the generalized kinetic and distributed parameter models: a perfusion ct study |
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2013 |
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https://hdl.handle.net/10356/84662 http://hdl.handle.net/10220/12208 |
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