15 citations · 17 across the 6 of their papers we have counts for
7 papers
Gain and Loss of Function mutations in biological chemical reaction networks: a mathematical model with application to colorectal cancer cells
Sara Sommariva, Giacomo Caviglia, Michele Piana
This paper studies a system of Ordinary Differential Equations modeling a chemical reaction network and derives from it a simulation tool mimicking Loss of Function and Gain of Fun…
Mathematical modelling of nuclear medicine data
Michele Piana, Giacomo Caviglia, Sara Sommariva
Positron Emission Tomography using 2-[18F]-2deoxy-D-glucose as radiotracer (FDG-PET) is currently one of the most frequently applied functional imaging methods in clinical applicat…
FDG kinetics in cells and tissues: a biochemically-driven compartmental approach
Mara Scussolini, Vanessa Cossu, Cecilia Marini +2
The radioactive glucose analogue 2-deoxy-2-[18F]fluoro-D-glucose (FDG) is widely used to reconstruct glucose metabolism and other biological functions in cells and tissues. The ana…
Parametric Imaging of FDG-PET Data Using Physiology and Iterative Regularization: Application to the Hepatic and Renal Systems
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
The present paper proposes a novel computational method for parametric imaging of nuclear medicine data. The mathematical procedure is general enough to work for compartmental mode…
A physiology--based parametric imaging method for FDG--PET data
Mara Scussolini, Sara Garbarino, Gianmario Sambuceti +2
Parametric imaging is a compartmental approach that processes nuclear imaging data to estimate the spatial distribution of the kinetic parameters governing tracer flow. The present…
Compartmental analysis of nuclear imaging data for the quantification of FDG liver metabolism
Valentina Vivaldi, Sara Garbarino, Giacomo Caviglia +2
This paper utilizes compartmental analysis and a statistical optimization technique in order to reduce a compartmental model describing the metabolism of labelled glucose in liver.…
Compartmental analysis of renal physiology using nuclear medicine data and statistical optimization
Sara Garbarino, Giacomo Caviglia, Massimo Brignone +3
This paper describes a general approach to the compartmental modeling of nuclear data based on spectral analysis and statistical optimization. We utilize the renal physiology as te…