POCS‐enhanced inherent correction of motion‐induced phase errors (POCS‐ICE) for high‐resolution multishot diffusion MRI

Guo, Hua; Ma, Xiaodong; Zhang, Zhe; Zhang, Bida; Yuan, Chun; Huang, Feng

doi:10.1002/mrm.25594

Cited by 48 publications

(94 citation statements)

References 49 publications

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“…POCS‐ICE can reconstruct images with a relatively high quality, because phase errors are recalculated at each iteration. However, the reconstruction time is much longer than for SENSE+CG (approximately five times) .…”

Section: Discussionmentioning

confidence: 99%

“…Recently, a multishot spiral DWI method named POCS‐enhanced Inherent Correction of motion‐induced phase Errors (POCS‐ICE) has been proposed, wherein both the phase information and final images were treated as unknowns and solved together using a POCS‐based algorithm. Compared with other navigator‐free multishot DWI methods, POCS‐ICE can correct for motion‐induced phase errors more reliably, even when the number of shots is large; furthermore, it also has a more stable convergence behavior than SENSE+CG, making it easier to determine the termination criterion without manual interventions.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, SS-EPI has a relatively long readout duration compared with the transverse relaxation time, which can result in blurring artifacts and limited spatial resolutions (6). A widely used approach for achieving high-resolution DWI, while also reducing geometric distortions, is to use multishot techniques (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22). The main drawback with multishot DWI techniques, however, is the often pronounced ghosting artifacts due to shot-to-shot phase inconsistencies (7,16) in the presence of the aforementioned macroscopic motions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Phase‐updated regularized SENSE for navigator‐free multishot diffusion imaging

Truong

et al. 2016

Magnetic Resonance in Med

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Phase‐updated regularized SENSE for navigator‐free multishot diffusion imaging

Truong

et al. 2016

Magnetic Resonance in Med

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“…It has been shown in recent studies that high-resolution DWI can also be achieved with interleaved spiral imaging [23, 27, 32–35], PROPELLER [36, 37], PROPELLER-EPI [14, 15], readout-segmented EPI [17, 38, 39], steady-state free precession (SSFP) imaging [40], and radial fast spin-echo imaging [41]. …”

Section: Discussionmentioning

confidence: 99%

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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“…A pictorial representation of the MUSSELS reconstruction proposed in is given in Figure . This method is notably different from traditional msDW reconstruction methods that involves phase . Specifically, MUSSELS is an iterative reconstruction that jointly recovers the complex k‐space data of all the shots by exploiting a low‐rank prior as follows:

\overset{true^}{\overset{m}{true}} = \underset{\overset{m}{true}}{normalargmin} \underset{data consistency}{\underset{‖ A ()(, \overset{true^}{boldm}) - \overset{y}{true} ‖_{ℓ_{2}}^{2}}{true}} + λ \underset{low-rank penalty}{\underset{false‖ H_{1} (\overset{true^}{boldm}) ‖_{*}}{true}},

where

{boldH}_{1} false(\overset{m}{true} false) = [scriptH (\overset{true^}{m_{1}}) scriptH (\overset{true^}{m_{2}}) \dots scriptH (\overset{true^}{m_{N_{s}}})]

is a concatenation of the convolutional Hankel matrices,

H (\overset{true^}{m_{i}})

, corresponding to the k‐space data,

\overset{m_{i}}{true}

, of each shot.…”

Section: Theorymentioning

confidence: 99%

Improved MUSSELS reconstruction for high‐resolution multi‐shot diffusion weighted imaging

Mani

Aggarwal

Magnotta

et al. 2019

Magnetic Resonance in Med

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Purpose MUSSELS is a one‐step iterative reconstruction method for multishot diffusion weighted (msDW) imaging. The current work presents an efficient implementation, termed IRLS MUSSELS, that enables faster reconstruction to enhance its utility for high‐resolution diffusion MRI studies. Methods The recently proposed MUSSELS reconstruction belongs to a new class of parallel imaging‐based methods that recover artifact‐free DWIs from msDW data without needing phase compensation. The reconstruction is achieved via structured low‐rank matrix completion algorithms, which are computationally demanding due to the large size of the Hankel matrices and their associated computations involving singular value decompositions. Because of this, computational demands of the MUSSELS reconstruction scales as the matrix size and the number of shots increases, which hinders its practical utility for high‐resolution applications. In this work, we derive a computationally efficient MUSSELS formulation by modifying the iterative reweighted least squares (IRLS) method that were proposed earlier to solve such problems. Using whole‐brain in vivo data, we show the utility of the IRLS MUSSELS for routine high‐resolution studies with reduced computational burden. Results IRLS MUSSELS provides about five times faster reconstruction for matrix sizes 192 × 192 and 256 × 256 compared to the earlier MUSSELS implementation. The widely employed conjugate symmetry priors can also be incorporated into IRLS MUSSELS to reduce blurring of the partial Fourier acquisitions, without incurring much computational burden. Conclusions The proposed method is observed to be computationally efficient to enable routine high‐resolution studies. The computational complexity matches the traditional msDWI reconstruction methods and provides improved reconstruction results with the additional constraints.

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POCS‐enhanced inherent correction of motion‐induced phase errors (POCS‐ICE) for high‐resolution multishot diffusion MRI

Cited by 48 publications

References 49 publications

Phase‐updated regularized SENSE for navigator‐free multishot diffusion imaging

Phase‐updated regularized SENSE for navigator‐free multishot diffusion 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

Improved MUSSELS reconstruction for high‐resolution multi‐shot diffusion weighted imaging

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