This article was published online 21 September 2012. In the original Figure 5c,d, the scale of the displacement images was incorrectly labeled. Actual displacements are reduced by a factor of 10, and the updated scale now reads from −5 to 5 mm. This notice is included in the print and online versions to indicate that both have been corrected 12 June 2013.
Magnetic resonance elastography of the brain using multishot spiral readouts with self-navigated motion correction†
Article first published online: 21 SEP 2012
© 2012 Wiley Periodicals, Inc.
Magnetic Resonance in Medicine
Volume 70, Issue 2, pages 404–412, August 2013
How to Cite
Johnson, C. L., McGarry, M. D. J., Van Houten, E. E. W., Weaver, J. B., Paulsen, K. D., Sutton, B. P. and Georgiadis, J. G. (2013), Magnetic resonance elastography of the brain using multishot spiral readouts with self-navigated motion correction. Magn Reson Med, 70: 404–412. doi: 10.1002/mrm.24473
- Issue published online: 23 JUL 2013
- Article first published online: 21 SEP 2012
- Manuscript Accepted: 6 AUG 2012
- Manuscript Revised: 20 JUL 2012
- Manuscript Received: 10 JUN 2012
- NIH/NIBIB. Grant Number: R01-EB004632-04
- Biomedical Imaging Center of the Beckman Institute for Advanced Science
- Technology at the University of Illinois at Urbana-Champaign and Richard W. Kritzer Fund
- magnetic resonance elastography;
- phase error;
- Rayleigh damping
Magnetic resonance elastography (MRE) has been introduced in clinical practice as a possible surrogate for mechanical palpation, but its application to study the human brain in vivo has been limited by low spatial resolution and the complexity of the inverse problem associated with biomechanical property estimation. Here, we report significant improvements in brain MRE data acquisition by reporting images with high spatial resolution and signal-to-noise ratio as quantified by octahedral shear strain metrics. Specifically, we have developed a sequence for brain MRE based on multishot, variable-density spiral imaging, and three-dimensional displacement acquisition and implemented a correction scheme for any resulting phase errors. A Rayleigh damped model of brain tissue mechanics was adopted to represent the parenchyma and was integrated via a finite element-based iterative inversion algorithm. A multiresolution phantom study demonstrates the need for obtaining high-resolution MRE data when estimating focal mechanical properties. Measurements on three healthy volunteers demonstrate satisfactory resolution of gray and white matter, and mechanical heterogeneities correspond well with white matter histoarchitecture. Together, these advances enable MRE scans that result in high-fidelity, spatially resolved estimates of in vivo brain tissue mechanical properties, improving upon lower resolution MRE brain studies that only report volume averaged stiffness values. Magn Reson Med 70:404–412, 2013. © 2012 Wiley Periodicals, Inc.