Motion‐corrected k‐space reconstruction for interleaved EPI diffusion imaging

Dong, Zijing; Wang, Fuyixue; Ma, Xiaodong; Dai, Erpeng; Zhang, Zhe; Guo, Hua

doi:10.1002/mrm.26861

Cited by 22 publications

(33 citation statements)

References 39 publications

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“…Future work will explore the use of a model‐based reconstruction that can directly account for the signal decay information and the partial separability and sparsity constraints similar to ones in Zhao et al and Tamir et al Such an approach could allow further accelerations and more accurate signal‐evolution reconstruction for short T 2 * species. Moreover, to allow for motion robustness, motion‐corrected reconstruction approaches could also be integrated into EPTI, either using the image domain or k‐space approach.…”

Section: Discussionmentioning

confidence: 99%

Echo planar time‐resolved imaging (EPTI)

Wang

Dong

Reese

et al. 2019

Magnetic Resonance in Med

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133

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Purpose To develop an efficient distortion‐ and blurring‐free multi‐shot EPI technique for time‐resolved multiple‐contrast and/or quantitative imaging. Methods EPI is a commonly used sequence but suffers from geometric distortions and blurring. Here, we introduce a new multi‐shot EPI technique termed echo planar time‐resolved imaging (EPTI), which has the ability to rapidly acquire distortion‐ and blurring‐free multi‐contrast data set. The EPTI approach performs encoding in ky‐t space and uses a new highly accelerated spatio–temporal CAIPI sampling trajectory to take advantage of signal correlation along these dimensions. Through this acquisition and a B0‐informed parallel imaging reconstruction, hundreds of “time‐resolved” distortion‐ and blurring‐free images at different TEs across the EPI readout window can be created at sub‐millisecond temporal increments using a small number of EPTI shots. Moreover, a method for self‐estimation and correction of shot‐to‐shot B0 variations was developed. Simultaneous multi‐slice acquisition was also incorporated to further improve the acquisition efficiency. Results We evaluated EPTI under varying simulated acceleration factors, B0‐inhomogeneity, and shot‐to‐shot B0 variations to demonstrate its ability to provide distortion‐ and blurring‐free images at multiple TEs. Two variants of EPTI were demonstrated in vivo at 3T: (1) a combined gradient‐ and spin‐echo EPTI for quantitative mapping of T2, T2*, proton density, and susceptibility at 1.1 × 1.1 × 3 mm3 whole‐brain in 28 s (0.8 s/slice), and (2) a gradient‐echo EPTI, for multi‐echo and quantitative T2* fMRI at 2 × 2 × 3 mm3 whole‐brain at a 3.3 s temporal resolution. Conclusion EPTI is a new approach for multi‐contrast and/or quantitative imaging that can provide fast acquisition of distortion‐ and blurring‐free images at multiple TEs.

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Section: Discussionmentioning

confidence: 99%

Echo planar time‐resolved imaging (EPTI)

Wang

Dong

Reese

et al. 2019

Magnetic Resonance in Med

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133

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“…Therefore, improving the EPI baseline image quality was shown to improve the MRF map quality. Reduction of ghosting artifacts, Nyquist artifact, and motion correction were recently published, which all have the potential to improve the image quality of the proposed MRF method. Despite advanced shimming, field inhomogeneities disturb the k‐space echo train and therefore lead to geometric distortions .…”

Section: Discussionmentioning

confidence: 99%

Magnetic resonance fingerprinting for simultaneous renal T₁ and T₂^* mapping in a single breath‐hold

Hermann

Chacon‐Caldera

Brumer

et al. 2020

Magnetic Resonance in Med

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Purpose To evaluate the use of magnetic resonance fingerprinting (MRF) for simultaneous quantification of T1 and T2∗ in a single breath‐hold in the kidneys. Methods The proposed kidney MRF sequence was based on MRF echo‐planar imaging. Thirty‐five measurements per slice and overall 4 slices were measured in 15.4 seconds. Group matching was performed for in‐line quantification of T1 and T2∗. Images were acquired in a phantom and 8 healthy volunteers in coronal orientation. To evaluate our approach, region of interests were drawn in the kidneys to calculate mean values and standard deviations of the T1 and T2∗ times. Precision was calculated across multiple repeated MRF scans. Gaussian filtering is applied on baseline images to improve SNR and match stability. Results T1 and T2∗ times acquired with MRF in the phantom showed good agreement with reference measurements and conventional mapping methods with deviations of less than 5% for T1 and less than 10% for T2∗. Baseline images in vivo were free of artifacts and relaxation times yielded good agreement with conventional methods and literature (deviation T1:7±4%, T2∗:6±3%). Conclusions In this feasibility study, the proposed renal MRF sequence resulted in accurate T1 and T2∗ quantification in a single breath‐hold.

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“…Compared with AMUSE, CIRIS obtains phase information from navigator images and motion information from IRIS‐reconstructed cluster images, and thus is not limited by the geometry factor. The motion‐corrected k‐space reconstruction also estimates motion from navigator images and overcomes the limitation of the geometry factor. However, this method obtains one DW image along a corrected direction by averaging all shot images whose actual diffusion directions are different because of motion.…”

Section: Discussionmentioning

confidence: 99%

“…By treating the variations of diffusion directions caused by motion as additional diffusion directions, CIRIS uses a simple and efficient direct inversion method to reconstruct DW images for DTI analysis. Compared with the conjugate gradient-based DTI motion correction algorithm in AMUSE 25 and motion-corrected k-space reconstruction, 26 the direct inversion method is noniterative and thus more time efficient. Compared with AMUSE, CIRIS obtains phase information from navigator images and motion information from IRIS-TABLE I. Quantitative comparison of IRIS, CIRIS*, and CIRIS in the simulated DTI experiment in terms of principal eigenvector angular deviation (AD), nRMSE of FA (FA rmse ), and nRMSE of MD (MD rmse ) in the ROI shown in Fig.…”

Section: Discussionmentioning

confidence: 99%

Technical Note: Clustering‐based motion compensation scheme for multishot diffusion tensor imaging

Huang

et al. 2018

Medical Physics

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Purpose To extend image reconstruction using image‐space sampling function (IRIS) to address large‐scale motion in multishot diffusion‐weighted imaging (DWI). Methods A clustered IRIS (CIRIS) algorithm that would extend IRIS was proposed to correct for large‐scale motion. For DWI, CIRIS initially groups the shots into clusters without intracluster large‐scale motion and reconstructs each cluster by using IRIS. Then, CIRIS registers these cluster images and combines the registered images by using a weighted average to correct for voxel mismatch caused by intercluster large‐scale motion. For diffusion tensor imaging (DTI), CIRIS further reduces the effect of motion on diffusion directions by treating motion‐induced direction changes as additional diffusion directions. CIRIS also introduces the detection and rejection of motion‐corrupted data to avoid corresponding image degradation. The proposed method was evaluated by simulation and in vivo diffusion datasets. Results Experiments demonstrated that CIRIS can reduce motion‐induced blurring and artifacts in DWI and provide more accurate DTI estimations in the presence of large‐scale motion, compared with IRIS. Conclusion The proposed method presents a novel approach to correct for large‐scale in‐plane motion for multishot DWI and is expected to benefit the practical application of high‐resolution diffusion imaging.

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Motion‐corrected k‐space reconstruction for interleaved EPI diffusion imaging

Cited by 22 publications

References 39 publications

Echo planar time‐resolved imaging (EPTI)

Echo planar time‐resolved imaging (EPTI)

Magnetic resonance fingerprinting for simultaneous renal T₁ and T₂^* mapping in a single breath‐hold

Technical Note: Clustering‐based motion compensation scheme for multishot diffusion tensor imaging

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Motion‐corrected k‐space reconstruction for interleaved EPI diffusion imaging

Cited by 22 publications

References 39 publications

Echo planar time‐resolved imaging (EPTI)

Echo planar time‐resolved imaging (EPTI)

Magnetic resonance fingerprinting for simultaneous renal T1 and T2* mapping in a single breath‐hold

Technical Note: Clustering‐based motion compensation scheme for multishot diffusion tensor imaging

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Magnetic resonance fingerprinting for simultaneous renal T₁ and T₂^* mapping in a single breath‐hold