Motion immune diffusion imaging using augmented <scp>MUSE</scp> for high‐resolution multi‐shot <scp>EPI</scp>

Guhaniyogi, Shayan; Matsuda, Chu; Chang, Hing‐Chiu; Song, Allen W.; Chen, Nan‐kuei

doi:10.1002/mrm.25624

Cited by 39 publications

(62 citation statements)

References 55 publications

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“…We can alternatively generate the required surfaces from a T1w image data using the same EPI readout and thus generating the same image distortions as the diffusion data (Renvall et al, 2016) to avoid the interpolation and image warping step. Newly developed super high resolution diffusion MRI techniques (Chang et al, 2015; Guhaniyogi et al, 2016; Haldar et al, 2016; Setsompop et al, 2017), also look promising for improving high spatial resolution diffusion, especially of the cerebral cortex.…”

Section: Discussionmentioning

confidence: 99%

HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging

et al. 2017

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The parameter selection for diffusion MRI experiments is dominated by the “k-q tradeoff” whereby the Signal to Noise Ratio (SNR) of the images is traded for either high spatial resolution (determined by the maximum k value collected) or high diffusion sensitivity (effected by b value or the q vector) but usually not both. Furthermore, different brain regions (such as gray matter and white matter) likely require different tradeoffs between these parameters due to the size of the structures to be visualized or the length-scale of the microstructure being probed. In this case, it might be advantageous to combine information from two scans – a scan with high q but low k (high angular resolution in diffusion but low spatial resolution in the image domain) to provide maximal information about white matter fiber crossing, and one low q but high k (low angular resolution but high spatial resolution) for probing the cortex. In this study, we propose a method, termed HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging, for acquiring and combining the information from these two complementary types of scan with the goal of studying diffusion in the cortex without compromising white matter fiber information. The white-gray boundary and pial surface obtained from anatomical scans are incorporated as prior information to guide the fusion. We study the complementary advantages of the fused datasets, and assess the quality of the HIBRID data compared to either alone.

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Section: Discussionmentioning

confidence: 99%

HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging

et al. 2017

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Section: Discussionmentioning

confidence: 93%

“…As shown in recent studies [29, 30], large-scale intra-scan motion (e.g., > 1 voxel) would also result in significant aliasing artifact in interleaved EPI based DWI scans. The large-scale motion artifacts in interleaved DWI need to be reduced either with prospective motion correction [29] or using a reconstruction procedure that takes large-scale motion into consideration [30]. We expect that our new composite 2D phase correction procedure can be further generalized to be compatible with approaches that are designed to remove large-scale motion artifacts in interleaved DWI data [29, 30].…”

Section: Discussionmentioning

confidence: 93%

“…The large-scale motion artifacts in interleaved DWI need to be reduced either with prospective motion correction [29] or using a reconstruction procedure that takes large-scale motion into consideration [30]. We expect that our new composite 2D phase correction procedure can be further generalized to be compatible with approaches that are designed to remove large-scale motion artifacts in interleaved DWI data [29, 30]. The second limitation of our 2D phase correction procedure is the lack of considering intra-slice phase variation.…”

Section: Discussionmentioning

confidence: 99%

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Joint correction of Nyquist artifact and minuscule motion-induced aliasing artifact in interleaved diffusion weighted EPI data using a composite two-dimensional phase correction procedure

Chang

Chen

2016

Magnetic Resonance Imaging

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Diffusion-weighted imaging (DWI) obtained with interleaved echo-planar imaging (EPI) pulse sequence has great potential of characterizing brain tissue properties at high spatial-resolution. However, interleaved EPI based DWI data may be corrupted by various types of aliasing artifacts. First, inconsistencies in k-space data obtained with opposite readout gradient polarities result in Nyquist artifact, which is usually reduced with 1D phase correction in post-processing. When there exist eddy current cross terms (e.g., in oblique-plane EPI), 2D phase correction is needed to effectively reduce Nyquist artifact. Second, minuscule motion induced phase inconsistencies in interleaved DWI scans result in image-domain aliasing artifact, which can be removed with reconstruction procedures that take shot-to-shot phase variations into consideration. In existing interleaved DWI reconstruction procedures, Nyquist artifact and minuscule motion-induced aliasing artifact are typically removed subsequently in two stages. Although the two-stage phase correction generally performs well for non-oblique plane EPI data obtained from well-calibrated system, the residual artifacts may still be pronounced in oblique-plane EPI data or when there exist eddy current cross terms. To address this challenge, here we report a new composite 2D phase correction procedure, which effective removes Nyquist artifact and minuscule motion induced aliasing artifact jointly in a single step. Our experimental results demonstrate that the new 2D phase correction method can much more effectively reduce artifacts in interleaved EPI based DWI data as compared with the existing two-stage artifact correction procedures. The new method robustly enables high-resolution DWI, and should prove highly valuable for clinical uses and research studies of DWI.

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“…If there is significant subject motion between EPI shots, either a prospective motion correction (Herbst et al, 2014) or a modified MUSE reconstruction procedure (Guhaniyogi et al, 2015) may be used to minimize artifacts resulting from shot-to-shot position changes.…”

Section: Discussionmentioning

confidence: 99%

Human brain diffusion tensor imaging at submillimeter isotropic resolution on a 3 Tesla clinical MRI scanner

et al. 2015

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The advantages of high-resolution diffusion tensor imaging (DTI) have been demonstrated in a recent post-mortem human brain study (Miller et al., NeuroImage 2011;57(1):167–181), showing that white matter fiber tracts can be much more accurately detected in data at submillimeter isotropic resolution. To our knowledge, in vivo human brain DTI at submillimeter isotropic resolution has not been routinely achieved yet because of the difficulty in simultaneously achieving high resolution and high signal-to-noise ratio (SNR) in DTI scans. Here we report a 3D multi-slab interleaved EPI acquisition integrated with multiplexed sensitivity encoded (MUSE) reconstruction, to achieve high-quality, high-SNR and submillimeter isotropic resolution (0.85 × 0.85 × 0.85 mm3) in vivo human brain DTI on a 3 Tesla clinical MRI scanner. In agreement with the previously reported post-mortem human brain DTI study, our in vivo data show that the structural connectivity networks of human brains can be mapped more accurately and completely with high-resolution DTI as compared with conventional DTI (e.g., 2 × 2 × 2 mm3).

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Motion immune diffusion imaging using augmented MUSE for high‐resolution multi‐shot EPI

Cited by 39 publications

References 55 publications

HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging

HIgh b-value and high Resolution Integrated Diffusion (HIBRID) imaging

Joint correction of Nyquist artifact and minuscule motion-induced aliasing artifact in interleaved diffusion weighted EPI data using a composite two-dimensional phase correction procedure

Human brain diffusion tensor imaging at submillimeter isotropic resolution on a 3 Tesla clinical MRI scanner

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