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Robust GRAPPA-accelerated diffusion-weighted readout-segmented (RS)-EPI.

Samantha J Holdsworth¹, Stefan Skare, Rexford D Newbould

¹Lucas MRS/I Center, Department of Radiology, Stanford University, Stanford, California 94305-5488, USA.

Magnetic Resonance in Medicine

|October 28, 2009

Summary

This summary is machine-generated.

Readout segmentation echo-planar imaging (RS-EPI) offers high-resolution diffusion imaging with fewer distortions. This study details methods to minimize scan time and improve image quality, even with brain motion.

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Area of Science:

Magnetic Resonance Imaging
Neuroimaging

Background:

Echo-planar imaging (EPI) is a standard for rapid MRI but suffers from distortions.
Readout segmentation echo-planar imaging (RS-EPI) is a promising EPI variant for high-resolution imaging, especially with parallel imaging.

Purpose of the Study:

To detail technical aspects of diffusion-weighted RS-EPI (DW-RS-EPI).
To present reconstruction methods and imaging parameters for minimizing scan time and reducing distortions in high-resolution diffusion imaging.
To assess the impact of brain motion on DW-RS-EPI.

Main Methods:

Developed an efficient generalized autocalibrating partially parallel acquisition (GRAPPA) calibration for DW-RS-EPI without increasing scan time.
Implemented a phase correction method for partial Fourier RS-EPI data.
Assessed the effects of pulsatile and rigid-body brain motion on DW-RS-EPI data quality.

Main Results:

Identified approximately 7% of DW-RS-EPI data corrupted by pulsatile nonlinear brain motion using k-space entropy metrics.
Demonstrated that blind overlap correction is not required for DW-RS-EPI data corrupted by rigid-body motion.
Achieved high-quality 3 Tesla (3 T) diffusion-weighted images with matrix sizes near 512x512, showing robustness to phase errors and motion with minimized distortions compared to EPI.

Conclusions:

DW-RS-EPI is a robust technique for high-resolution diffusion imaging at 3 T.
The presented methods enhance efficiency and reduce distortions, enabling superior image quality.
RS-EPI's resilience to motion and phase errors makes it advantageous over conventional EPI.