Susceptibility-related MR signal dephasing under nonstatic conditions: Experimental verification and consequences for qBOLD measurements
Article first published online: 27 JAN 2011
Copyright © 2011 Wiley-Liss, Inc.
Journal of Magnetic Resonance Imaging
Volume 33, Issue 2, pages 417–425, February 2011
How to Cite
Sohlin, M. C. and Schad, L. R. (2011), Susceptibility-related MR signal dephasing under nonstatic conditions: Experimental verification and consequences for qBOLD measurements. J. Magn. Reson. Imaging, 33: 417–425. doi: 10.1002/jmri.22423
- Issue published online: 27 JAN 2011
- Article first published online: 27 JAN 2011
- Manuscript Accepted: 15 OCT 2010
- Manuscript Received: 1 MAR 2010
- susceptibility contrast;
- static dephasing;
- diffusion dephasing
To experimentally verify a theoretical model describing the MR signal dephasing under nonstatic conditions in a voxel containing a vascular network, and to estimate the stability of the model for qBOLD measurements.
Materials and Methods
Measurement phantoms reflecting the properties of the theoretical model, i.e., statistically distributed and randomly oriented cylinders in a homogeneous medium were constructed by randomly coiled polyamide fibers immersed in a NiSO4 solution. The resemblance between measured and theoretical signal curves was investigated by calculation of root mean squared error maps. Simulated nonstatic dephasing data were evaluated using the static dephasing model to estimate the stability of the model and the influence of input parameters.
The theoretical model describing the MR signal dephasing under nonstatic conditions was experimentally verified in phantom measurements. In simulations, it was found that, by neglecting the effect of diffusion when predicting the MR signal-time course expected in an in vivo measurement of the tissue oxygenation, errors of 10–30% would be introduced into the parameter estimation. The simulations indicate unpredictable results for simultaneous evaluation of blood oxygenation level and blood volume fraction.
Neglecting the effects of diffusion in quantitative BOLD measurements could give rise to substantial errors in the parameter estimation. J. Magn. Reson. Imaging 2011;33:417–425. © 2011 Wiley-Liss, Inc.