Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology

DOI10.1080/17415977.2018.1512603zbMath1462.92034arXiv1608.01825OpenAlexW3100798587MaRDI QIDQ4990744

Fabrice Delbary, Sara Garbarino

Publication date: 31 May 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1608.01825

zbMATH Keywords

Gauss-Newton methodcompartmental analysisnuclear medicine data

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50)

Related Items (1)

Multivariate regularized Newton and Levenberg-Marquardt methods: a comparison on synthetic data of tumor hypoxia in a kinetic framework

Cites Work

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• Estimate of FDG excretion by means of compartmental analysis and ant colony optimization of nuclear medicine data
• Compartmental analysis of dynamic nuclear medicine data: models and identifiability
• Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
• A physiology-based parametric imaging method for FDG–PET data

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