Dependency of R-2 and R-2* relaxation on Gd-DTPA concentration in arterial blood: Influence of hematocrit and magnetic field strength

Danielle van Dorth*, Krishnapriya Venugopal, Dirk H. J. Poot, Lydiane Hirschler, Jeroen de Bresser, Marion Smits, Juan A. Hernandez-Tamames, Clement S. Debacker, Matthias J. P. van Osch

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Dynamic susceptibility contrast (DSC) MRI is clinically used to measure brain perfusion by monitoring the dynamic passage of a bolus of contrast agent through the brain. For quantitative analysis of the DSC images, the arterial input function is required. It is known that the original assumption of a linear relation between the R-2((*)) relaxation and the arterial contrast agent concentration is invalid, although the exact relation is as of yet unknown. Studying this relation in vitro is time-consuming, because of the widespread variations in field strengths, MRI sequences, contrast agents, and physiological conditions. This study aims to simulate the R-2((*)) versus contrast concentration relation under varying physiological and technical conditions using an adapted version of an open-source simulation tool. The approach was validated with previously acquired data in human whole blood at 1.5 T by means of a gradient-echo sequence (proof-of-concept). Subsequently, the impact of hematocrit, field strength, and oxygen saturation on this relation was studied for both gradient-echo and spin-echo sequences. The results show that for both gradient-echo and spin-echo sequences, the relaxivity increases with hematocrit and field strength, while the hematocrit dependency was nonlinear for both types of MRI sequences. By contrast, oxygen saturation has only a minor effect. In conclusion, the simulation setup has proven to be an efficient method to rapidly calibrate and estimate the relation between R-2((*)) and gadolinium concentration in whole blood. This knowledge will be useful in future clinical work to more accurately retrieve quantitative information on brain perfusion.
Original languageEnglish
Article numbere4653
Number of pages12
JournalNMR in Biomedicine
Volume35
Issue number5
Early online dateNov 2021
DOIs
Publication statusPublished - May 2022

Bibliographical note

Funding Information:
This publication is part of the project “Vascular Signature Mapping of Brain Tumor Genotypes” (project number 17079) of the open technology research program of Applied and Engineering Sciences, which is (partly) financed by the Dutch Research Council (NWO) and the Medical Delta program “Cancer Diagnostics 3.0”.

Funding Information:
This publication is part of the project ?Vascular Signature Mapping of Brain Tumor Genotypes? (project number 17079) of the open technology research program of Applied and Engineering Sciences, which is (partly) financed by the Dutch Research Council (NWO) and the Medical Delta program ?Cancer Diagnostics 3.0?.

Publisher Copyright:
© 2021 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.

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