|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||A Dynamic Model of CT Scans for Quantifying Doubling Time of Ground Glass Opacities Using Histogram Analysis (Forthcoming)|
|Authors:||Farkas, Jozsef Zoltan|
Smith, Gary T
Webb, Glenn F
logistic partial differential equation
|Citation:||Farkas JZ, Smith GT & Webb GF (2018) A Dynamic Model of CT Scans for Quantifying Doubling Time of Ground Glass Opacities Using Histogram Analysis (Forthcoming), Mathematical Biosciences and Engineering.|
|Abstract:||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.|
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|CT-23Jan2018.pdf||6.51 MB||Adobe PDF||Under Embargo until 24/1/2021 Request a copy|
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