Literature DB >> 33476028

Analysis Protocol for Dynamic Contrast Enhanced (DCE) MRI of Renal Perfusion and Filtration.

Frank G Zöllner1, Walter Dastrù2, Pietro Irrera3, Dario Livio Longo4, Kevin M Bennett5, Scott C Beeman5, G Larry Bretthorst5, Joel R Garbow5.   

Abstract

Here we present an analysis protocol for dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data of the kidneys. It covers comprehensive steps to facilitate signal to contrast agent concentration mapping via T1 mapping and the calculation of renal perfusion and filtration parametric maps using model-free approaches, model free analysis using deconvolution, the Toft's model and a Bayesian approach.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concept and experimental procedure.

Keywords:  Contrast agent; Deconvolution; Dynamic contrast enhanced (DCE ); Filtration; Kidney; Magnetic resonance imaging (MRI); Mice; Perfusion; Rats; T1 mapping; Toft’s model

Year:  2021        PMID: 33476028     DOI: 10.1007/978-1-0716-0978-1_38

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

1.  Measurement of single kidney function using dynamic contrast-enhanced MRI: comparison of two models in human subjects.

Authors:  David L Buckley; Ala'a E Shurrab; Ching M Cheung; Andrew P Jones; Hari Mamtora; Philip A Kalra
Journal:  J Magn Reson Imaging       Date:  2006-11       Impact factor: 4.813

2.  Pixel-by-pixel deconvolution of bolus-tracking data: optimization and implementation.

Authors:  S Sourbron; M Dujardin; S Makkat; R Luypaert
Journal:  Phys Med Biol       Date:  2006-12-29       Impact factor: 3.609

3.  Dynamic contrast-enhanced MRI measurement of renal function in healthy participants.

Authors:  Eli Eikefjord; Erling Andersen; Erlend Hodneland; Erik A Hanson; Steven Sourbron; Einar Svarstad; Arvid Lundervold; Jarle T Rørvik
Journal:  Acta Radiol       Date:  2016-09-30       Impact factor: 1.990

4.  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 5.  Classic models for dynamic contrast-enhanced MRI.

Authors:  Steven P Sourbron; David L Buckley
Journal:  NMR Biomed       Date:  2013-05-15       Impact factor: 4.044

6.  Are complex DCE-MRI models supported by clinical data?

Authors:  Chong Duan; Jesper F Kallehauge; G Larry Bretthorst; Kari Tanderup; Joseph J H Ackerman; Joel R Garbow
Journal:  Magn Reson Med       Date:  2016-03-04       Impact factor: 4.668

7.  ROCKETSHIP: a flexible and modular software tool for the planning, processing and analysis of dynamic MRI studies.

Authors:  Samuel R Barnes; Thomas S C Ng; Naomi Santa-Maria; Axel Montagne; Berislav V Zlokovic; Russell E Jacobs
Journal:  BMC Med Imaging       Date:  2015-06-16       Impact factor: 1.930

8.  DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data.

Authors:  Juan E Ortuño; María J Ledesma-Carbayo; Rui V Simões; Ana P Candiota; Carles Arús; Andrés Santos
Journal:  BMC Bioinformatics       Date:  2013-11-04       Impact factor: 3.169

9.  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

10.  Renal DCE-MRI Model Selection Using Bayesian Probability Theory.

Authors:  Scott C Beeman; Patrick Osei-Owusu; Chong Duan; John Engelbach; G Larry Bretthorst; Joseph J H Ackerman; Kendall J Blumer; Joel R Garbow
Journal:  Tomography       Date:  2015-09
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