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Assessment of MRI contrast agent concentration by quantitative susceptibility mapping (QSM): application to estimation of cerebral blood volume during steady state

Overview of attention for article published in Magnetic Resonance Materials in Physics, Biology and Medicine, June 2017
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Title
Assessment of MRI contrast agent concentration by quantitative susceptibility mapping (QSM): application to estimation of cerebral blood volume during steady state
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine, June 2017
DOI 10.1007/s10334-017-0637-9
Pubmed ID
Authors

Emelie Lind, Linda Knutsson, Robin Kämpe, Freddy Ståhlberg, Ronnie Wirestam

Abstract

One major issue in dynamic susceptibility contrast MRI (DSC-MRI) is to accurately determine contrast agent (CA) concentration, since T2* relaxivity in vivo is generally unknown and varies between blood and tissue. In this study, quantitative susceptibility mapping (QSM) was used for quantification of CA concentration. A DSC-MRI protocol, including phase data acquisition, was applied to 20 healthy volunteers in a test-retest study. By selecting a CSF reference region of interest (ROI), the values of all QSM images were shifted to show no CA-induced change in CSF. CA concentration and cerebral blood volume (CBV) were estimated using shifted QSM data. CSF reference ROI optimization was evaluated by investigation of CBV repeatability. The CBV age dependence was analysed and tissue T2* relaxivity was estimated. The best repeatability of CBV, using an optimal CSF reference ROI, showed test-versus-retest correlations of r = 0.81 and r = 0.91 for white and grey matter, respectively. A slight CBV decrease with age was observed, and the estimated in vivo T2* relaxivity was 85 mM(-1)s(-1). Provided that a carefully selected CSF reference ROI is used to shift QSM image values, susceptibility information can be used to estimate concentration of contrast agent and to calculate CBV.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Researcher 4 13%
Student > Master 3 10%
Professor > Associate Professor 2 7%
Professor 1 3%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Physics and Astronomy 5 17%
Engineering 3 10%
Neuroscience 3 10%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 11 37%