by Wenchuan Wu, Benedikt A. Poser, Gwenaelle Douaud, Robert Frost, Myung-Ho In, Oliver Speck, Peter J. Koopmans, Karla L. Miller
Abstract:
High-resolution diffusion MRI can provide the ability to resolve small brain structures, enabling investigations of detailed white matter architecture. A major challenge for in vivo high-resolution diffusion MRI is the low signal-to-noise ratio. In this work, we combine two highly compatible methods, ultra-high field and three-dimensional multi-slab acquisition to improve the SNR of high-resolution diffusion MRI. As each kz plane is encoded using a single-shot echo planar readout, scan speeds of the proposed technique are similar to the commonly used two-dimensional diffusion MRI. In-plane parallel acceleration is applied to reduce image distortions. To reduce the sensitivity of auto-calibration signal data to subject motion and respiration, several new adaptions of the fast low angle excitation echo-planar technique (FLEET) that are suitable for 3D multi-slab echo planar imaging are proposed and evaluated. A modified reconstruction scheme is proposed for auto-calibration with the most robust method, Slice-FLEET acquisition, to make it compatible with navigator correction of motion induced phase errors. Slab boundary artefacts are corrected using the nonlinear slab profile encoding method recently proposed by our group. In vivo results demonstrate that using 7T and three-dimensional multi-slab acquisition with improved auto-calibration signal acquisition and nonlinear slab boundary artefacts correction, high-quality diffusion MRI data with \textbackslashtextbackslashtextasciitilde1mm isotropic resolution can be achieved.
Reference:
High-resolution diffusion MRI at 7T using a three-dimensional multi-slab acquisition. (Wenchuan Wu, Benedikt A. Poser, Gwenaelle Douaud, Robert Frost, Myung-Ho In, Oliver Speck, Peter J. Koopmans, Karla L. Miller), In NeuroImage, volume 143, 2016.
Bibtex Entry:
@article{wu_high-resolution_2016,
	title = {High-resolution diffusion {MRI} at 7T using a three-dimensional multi-slab acquisition.},
	volume = {143},
	copyright = {Copyright A(c) 2016 The Authors. Published by Elsevier Inc. All rights reserved.},
	issn = {1095-9572 1053-8119},
	doi = {10.1016/j.neuroimage.2016.08.054},
	abstract = {High-resolution diffusion MRI can provide the ability to resolve small brain structures, enabling investigations of detailed white matter architecture. A major challenge for in vivo high-resolution diffusion MRI is the low signal-to-noise ratio. In this work, we combine two highly compatible methods, ultra-high field and three-dimensional multi-slab acquisition to improve the SNR of high-resolution diffusion MRI. As each kz plane is encoded using a single-shot echo planar readout, scan speeds of the proposed technique are similar to the commonly used two-dimensional diffusion MRI. In-plane parallel acceleration is applied to reduce image distortions. To reduce the sensitivity of auto-calibration signal data to subject motion and respiration, several new adaptions of the fast low angle excitation echo-planar technique (FLEET) that are suitable for 3D multi-slab echo planar imaging are proposed and evaluated. A modified reconstruction scheme is proposed for auto-calibration with the most robust method, Slice-FLEET acquisition, to make it compatible with navigator correction of motion induced phase errors. Slab boundary artefacts are corrected using the nonlinear slab profile encoding method recently proposed by our group. In vivo results demonstrate that using 7T and three-dimensional multi-slab acquisition with improved auto-calibration signal acquisition and nonlinear slab boundary artefacts correction, high-quality diffusion MRI data with {\textbackslash}textbackslashtextasciitilde1mm isotropic resolution can be achieved.},
	language = {eng},
	journal = {NeuroImage},
	author = {Wu, Wenchuan and Poser, Benedikt A. and Douaud, Gwenaelle and Frost, Robert and In, Myung-Ho and Speck, Oliver and Koopmans, Peter J. and Miller, Karla L.},
	month = dec,
	year = {2016},
	pmid = {27570110},
	pmcid = {PMC5139985},
	keywords = {3D, 7T, Brain/*diagnostic imaging, Computer-Assisted/*methods, Diffusion, Diffusion Tensor Imaging/*methods, Echo-Planar Imaging/*methods, High resolution, Humans, Image Interpretation, Multi-slab, Tractography},
	pages = {1--14}
}