A dynamic model of CT scans for quantifying doubling time of ground glass opacities using histogram analysis.
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Abstract |
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We quantify a recent five-category CT histogram based classification of ground glass opacities using a dynamic mathematical model for the spatial-temporal evolution of malignant nodules. Our mathematical model takes the form of a spatially structured partial differential equation with a logistic crowding term. We present the results of extensive simulations and validate our model using patient data obtained from clinical CT images from patients with benign and malignant lesions. |
Year of Publication |
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2018
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Journal |
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Mathematical biosciences and engineering : MBE
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Volume |
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15
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Issue |
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5
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Number of Pages |
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1203-1224
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Date Published |
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2018
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ISSN Number |
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1547-1063
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URL |
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https://www.aimspress.com/article/10.3934/mbe.2018055
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DOI |
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10.3934/mbe.2018055
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Short Title |
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Math Biosci Eng
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