Related Experiment Video
Updated: Feb 3, 2026

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
A dynamic model of CT scans for quantifying doubling time of ground glass opacities using histogram analysis
József Z Farkas1, Gary T Smith, Glenn F Webb
1Division of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, UK.
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.
Related Concept Videos
Probability Histograms
Histogram
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
Voltammetric Techniques: Linear-Scan (E vs Time)
The Looking Glass Self
Relative Frequency Histogram
Taping Over Different Ground Profiles

