Compartmental analysis of dynamic nuclear medicine data: models and identifiability

DOI10.1088/0266-5611/32/12/125010zbMath1355.92048arXiv1603.02266OpenAlexW3104273130MaRDI QIDQ2957543

Fabrice Delbary, Sara Garbarino, Valentina Vivaldi

Publication date: 26 January 2017

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.02266

zbMATH Keywords

identifiabilitycompartmental analysisnuclear medicine data

Mathematics Subject Classification ID

Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Medical applications (general) (92C50)

Related Items (2)

Multivariate regularized Newton and Levenberg-Marquardt methods: a comparison on synthetic data of tumor hypoxia in a kinetic framework ⋮ Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology

Cites Work

• Identifiable reparametrizations of linear compartment models
• Estimate of FDG excretion by means of compartmental analysis and ant colony optimization of nuclear medicine data
• On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics
• THEOREMS ON LINEAR SYSTEMS*
• Compartmental modelling of the uptake kinetics of the anti‐cancer agent topotecan in human breast cancer cells
• On the Eigenvalues and Eigenvectors of a Class of Matrices

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