Volume 33, Issue 2 pp. 417-425
Original Research

Susceptibility-related MR signal dephasing under nonstatic conditions: Experimental verification and consequences for qBOLD measurements

Maja C. Sohlin PhD

Maja C. Sohlin PhD

Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany

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Lothar R. Schad PhD

Corresponding Author

Lothar R. Schad PhD

Computer Assisted Clinical Medicine, Faculty of Medicine Mannheim, University of Heidelberg, Germany

Computer Assisted Clinical Medicine, Faculty of Medicine Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, GermanySearch for more papers by this author
First published: 27 January 2011
Citations: 21

Abstract

Purpose

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.

Results

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.

Conclusion

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.

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