High resolution diffusion‐weighted imaging using readout‐segmented echo‐planar imaging, parallel imaging and a two‐dimensional navigator‐based reacquisition

Single‐shot echo‐planar imaging (EPI) is well established as the method of choice for clinical, diffusion‐weighted imaging with MRI because of its low sensitivity to the motion‐induced phase errors that occur during diffusion sensitization of the MR signal. However, the method is prone to artifacts due to susceptibility changes at tissue interfaces and has a limited spatial resolution. The introduction of parallel imaging techniques, such as GRAPPA (GeneRalized Autocalibrating Partially Parallel Acquisitions), has reduced these problems, but there are still significant limitations, particularly at higher field strengths, such as 3 Tesla (T), which are increasingly being used for routine clinical imaging. This study describes how the combination of readout‐segmented EPI and parallel imaging can be used to address these issues by generating high‐resolution, diffusion‐weighted images at 1.5T and 3T with a significant reduction in susceptibility artifact compared with the single‐shot case. The technique uses data from a 2D navigator acquisition to perform a nonlinear phase correction and to control the real‐time reacquisition of unusable data that cannot be corrected. Measurements on healthy volunteers demonstrate that this approach provides a robust correction for motion‐induced phase artifact and allows scan times that are suitable for routine clinical application. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.

[1]  Robert Turner,et al.  Trajectory measurement and generalised reconstruction in rectilinear EPI , 2000, NeuroImage.

[2]  J. Duyn,et al.  Single‐shot diffusion MRI of human brain on a conventional clinical instrument , 1996, Magnetic resonance in medicine.

[3]  Keith Heberlein,et al.  A sliding-window re-acquisition scheme for multi-shot, diffusion-weighted imaging with 2D navigator correction , 2011 .

[4]  A. Macovski,et al.  Selection of a convolution function for Fourier inversion using gridding [computerised tomography application]. , 1991, IEEE transactions on medical imaging.

[5]  J. Pekar,et al.  Echo-planar imaging of intravoxel incoherent motion. , 1990, Radiology.

[6]  David Atkinson,et al.  Nonlinear phase correction of navigated multi‐coil diffusion images , 2006, Magnetic resonance in medicine.

[7]  B. Siewert,et al.  Acute human stroke studied by whole brain echo planar diffusion‐weighted magnetic resonance imaging , 1995, Annals of neurology.

[8]  A. Connelly,et al.  Sampling and reconstruction effects due to motion in diffusion‐weighted interleaved echo planar imaging , 2000, Magnetic resonance in medicine.

[9]  Robin M. Heidemann,et al.  Multi-shot, diffusion-weighted imaging at 3T using readout-segmented EPI and GRAPPA , 2006 .

[10]  W. Mali,et al.  Diffusion-weighted magnetic resonance imaging in acute stroke. , 1998, Stroke.

[11]  S. Skare,et al.  Readout-segmented EPI for rapid high resolution diffusion imaging at 3 T. , 2008, European journal of radiology.

[12]  Tzu-Chao Chuang,et al.  PROPELLER EPI: An MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions , 2005, Magnetic resonance in medicine.

[13]  R. Ordidge,et al.  Correction of motional artifacts in diffusion-weighted MR images using navigator echoes. , 1994, Magnetic resonance imaging.

[14]  M. Griswold Advanced K-space Techniques , 2004 .

[15]  Rj Ordidge,et al.  The use of intelligent re-acquisition to reduce scan time in MRI degraded by motion. , 1998 .

[16]  M. Moseley,et al.  Self‐navigated interleaved spiral (SNAILS): Application to high‐resolution diffusion tensor imaging , 2004, Magnetic resonance in medicine.

[17]  J. Pipe Motion correction with PROPELLER MRI: Application to head motion and free‐breathing cardiac imaging , 1999, Magnetic resonance in medicine.

[18]  Karla L Miller,et al.  Nonlinear phase correction for navigated diffusion imaging , 2003, Magnetic resonance in medicine.

[19]  N. Anscombe To boldly go... [Space: the final frontier] , 2004 .

[20]  David A Porter,et al.  Reconstruction as a source of artifact in non-gated single-shot diffusion-weighted EPI. , 2005, Magnetic resonance imaging.

[21]  R. Edelman,et al.  Resolution enhancement in single‐shot imaging using simultaneous acquisition of spatial harmonics (SMASH) , 1999, Magnetic resonance in medicine.

[22]  J C Gore,et al.  Diffusion‐weighted multiple shot echo planar imaging of humans without navigation , 1997, Magnetic resonance in medicine.

[23]  Robin M Heidemann,et al.  Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.

[24]  Peter M. Jakob,et al.  Off-resonance artifacts in single shot EPI using partially parallel imaging , 2001 .

[25]  James G Pipe,et al.  Multishot diffusion‐weighted FSE using PROPELLER MRI , 2002, Magnetic resonance in medicine.

[26]  C. Thomsen,et al.  Theoretical and experimental evaluation of phase‐dispersion effects caused by brain motion in diffusion and perfusion MR imaging , 1996, Journal of magnetic resonance imaging : JMRI.

[27]  Peter Jezzard,et al.  Investigations on the efficiency of cardiac-gated methods for the acquisition of diffusion-weighted images. , 2005, Journal of magnetic resonance.

[28]  R. Stollberger,et al.  Improved diffusion‐weighted single‐shot echo‐planar imaging (EPI) in stroke using sensitivity encoding (SENSE) , 2001, Magnetic resonance in medicine.

[29]  J. Pauly,et al.  Isotropic diffusion‐weighted and spiral‐navigated interleaved EPI for routine imaging of acute stroke , 1997, Magnetic resonance in medicine.

[30]  F. Buonanno,et al.  Predicting Tissue Outcome in Acute Human Cerebral Ischemia Using Combined Diffusion- and Perfusion-Weighted MR Imaging , 2001, Stroke.

[31]  J C Gore,et al.  Analysis and correction of motion artifacts in diffusion weighted imaging , 1994, Magnetic resonance in medicine.

[32]  Peter M. Jakob,et al.  Minimizing Distortions and Blurring in Diffusion Weighted Single Shot EPI using High Performance Gradients in Combination with Parallel Imaging , 2001 .