Literature DB >> 20540902

Compartmental modelling for magnetic resonance renography.

Steven Sourbron1.   

Abstract

A basic formalism is presented for generating and interpreting compartmental models for dynamic contrast-enhanced MRI data in the kidney. A graphical convention is introduced to represent and design compartmental models in a transparent and physically intuitive manner. A systematic system of notations and a simple set of rules allows direct translation of the graphical representation into a mathematical solution. The rules are derived from the physical principle of mass conservation, and the interpretation provided by the general tracer-kinetic theory of linear and stationary systems. The power of the formalism is illustrated using examples of models that have been proposed in the literature on perfusion MRI, and by generating a number of advanced models that may be of use in the kidney. 2009. Published by Elsevier GmbH.

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Year:  2009        PMID: 20540902     DOI: 10.1016/j.zemedi.2009.10.010

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  6 in total

1.  UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine.

Authors:  Frank G Zöllner; Gerald Weisser; Marcel Reich; Sven Kaiser; Stefan O Schoenberg; Steven P Sourbron; Lothar R Schad
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

Review 2.  Quantitative renal magnetic resonance imaging: magnetic resonance urography.

Authors:  J Damien Grattan-Smith; Jeanne Chow; Sila Kurugol; Richard Alan Jones
Journal:  Pediatr Radiol       Date:  2022-01-13

Review 3.  Radiologic imaging of the renal parenchyma structure and function.

Authors:  Nicolas Grenier; Pierre Merville; Christian Combe
Journal:  Nat Rev Nephrol       Date:  2016-04-12       Impact factor: 28.314

4.  Distribution of Intravascular and Extravascular Extracellular Volume Fractions by Total Area under Curve for Neovascularization Assessment by Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Yi Sun
Journal:  J Med Signals Sens       Date:  2014-07

5.  Estimate of FDG excretion by means of compartmental analysis and ant colony optimization of nuclear medicine data.

Authors:  Sara Garbarino; Giacomo Caviglia; Massimo Brignone; Michela Massollo; Gianmario Sambuceti; Michele Piana
Journal:  Comput Math Methods Med       Date:  2013-09-28       Impact factor: 2.238

6.  An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited.

Authors:  Frank G Zöllner; Markus Daab; Steven P Sourbron; Lothar R Schad; Stefan O Schoenberg; Gerald Weisser
Journal:  BMC Med Imaging       Date:  2016-01-14       Impact factor: 1.930

  6 in total

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