Non‐Cartesian slice‐GRAPPA and slice‐SPIRiT reconstruction methods for multiband spiral cardiac MRI

Sun, Changyu; Yang, Ya; Cai, Xiaoying; Salerno, Michael; Meyer, Craig H.; Weller, Daniel S.; Epstein, Frederick H.

doi:10.1002/mrm.28002

Cited by 13 publications

(27 citation statements)

References 38 publications

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“…Images were reconstructed with ss-GRAPPA [10], SMS-SPIRiT [13,14] and the proposed regularized reconstruction. 5×5 kernels were used for all ss-GRAPPA, G j ss , and 7×7 kernels were used for all SPIRiT, G j i , which were calibrated using the calibration scan.…”

Section: Reconstructionmentioning

confidence: 99%

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Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction

Demirel

Weingärtner

Moeller

et al. 2020

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

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Perfusion cardiac MRI (CMR) is a radiation-free and noninvasive imaging tool which has gained increasing interest for the diagnosis of coronary artery disease. However, resolution and coverage are limited in perfusion CMR due to the necessity of single snapshot imaging during the first-pass of a contrast agent. Simultaneous multi-slice (SMS) imaging has the potential for high acceleration rates with minimal signal-tonoise ratio (SNR) loss. However, its utility in CMR has been limited to moderate acceleration factors due to residual leakage artifacts from the extra-cardiac tissue such as the chest and the back. Outer volume suppression (OVS) with leakageblocking reconstruction has been used to enable higher acceleration rates in perfusion CMR, but suffers from higher noise amplification. In this study, we sought to augment OVS-SMS/MB imaging with a regularized leakage-blocking reconstruction algorithm to improve image quality. Results from highly-accelerated perfusion CMR show that the method improves upon SMS-SPIRiT in terms of leakage reduction and split slice (ss)-GRAPPA in terms of noise mitigation.

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Section: Reconstructionmentioning

confidence: 99%

“…In this work, we sought to improve the image quality of OVS-prepared SMS perfusion CMR using a regularized leakage-blocking SMS reconstruction algorithm, building on our earlier work [11,12]. The proposed acquisition and reconstruction were evaluated on perfusion CMR, and compared to split slice (ss)-GRAPPA [10] and SMS-SPIRiT [13,14].…”

Section: Introductionmentioning

confidence: 99%

Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction

Demirel

Weingärtner

Moeller

et al. 2020

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

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“…Shorter cardiac CINE acquisitions can be achieved if the respiratory motion does not need to be resolved or corrected. Single breath-hold 2D real-time acquisitions 6 , 7 or 2D simultaneous multi-slice (SMS) for cardiac imaging 8 , 9 have been studied for this purpose, but provide only limited LV coverage and are still hampered by anisotropic image resolution in the slice direction. To increase the LV coverage, reconstruction of pseudo 3D cardiac CINE datasets from multiple multi-slice anisotropic 2D volumes by using motion-corrected super-resolution frameworks have been proposed 10 , 11 .…”

Section: Introductionmentioning

confidence: 99%

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Küstner

Fuin

Hammernik

et al. 2020

Sci Rep

172

135

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cardiac cine magnetic resonance imaging is the gold-standard for the assessment of cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) coverage in a single breath-hold. However, 3D imaging remains limited to anisotropic resolution and long reconstruction times. Recently deep learning has shown promising results for computationally efficient reconstructions of highly accelerated 2D CINE imaging. In this work, we propose a novel 4D (3D + time) deep learning-based reconstruction network, termed 4D CINENet, for prospectively undersampled 3D Cartesian CINE imaging. CINENet is based on (3 + 1)D complex-valued spatio-temporal convolutions and multi-coil data processing. We trained and evaluated the proposed cinenet on in-house acquired 3D CINE data of 20 healthy subjects and 15 patients with suspected cardiovascular disease. The proposed cinenet network outperforms iterative reconstructions in visual image quality and contrast (+ 67% improvement). We found good agreement in LV function (bias ± 95% confidence) in terms of end-systolic volume (0 ± 3.3 ml), end-diastolic volume (− 0.4 ± 2.0 ml) and ejection fraction (0.1 ± 3.2%) compared to clinical gold-standard 2D CINE, enabling single breath-hold isotropic 3D CINE in less than 10 s scan and ~ 5 s reconstruction time. Cardiac CINE magnetic resonance imaging (MRI) is the gold standard for the assessment of cardiac morphology and function. Conventionally, multi-slice 2D CINE imaging is performed under multiple breath-holds to achieve left ventricular (LV) coverage. For fast LV coverage only a few (~ 12) short-axis 2D slices with anisotropic resolution in the slice direction are acquired throughout multiple breath-holds of < 15 s duration each. Imperfect (e.g. drifts) or varying breath-hold positions and the anisotropic image resolution can cause slice misalignments which may lead to staircasing artifacts and erroneous assessment of the ventricular volume. The LV function assessment is assessed by epicardial and endocardial segmentation of the images in short-axis orientation. Indeed, the anisotropic resolution of the short-axis 2D CINE does not allow for reformats to arbitrary orientations. Further images in other long axis orientations are required for a comprehensive assessment of cardiac morphology and function which in turn requires multiple acquisitions to be performed in several geometric views and thereby increasing overall planning and scan time. To overcome these limitations, 2D 1,2 and 3D 3-5 free-breathing cardiac CINE imaging with retrospective motion correction have been proposed to minimize slice misalignment and improve patient comfort. Data are acquired under free-breathing and respiratory and cardiac motion is resolved retrospectively which comes however at the expense of a prolonged scan time in the order of several minutes. Moreover, these approaches usually require long reconstruction times associated with the high-dimensional (spatial, respiratory temporal and cardiac temporal) data processing or with the nat...

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“…29,30 Recently, SPIRiT-type reconstructions 6 have also been used for myocardial T 1 mapping 31 and for non-Cartesian SMS imaging. 15,32 Finally, ReadOut (RO)-SENSE-GRAPPA proposes the idea of readout concatenation in image domain to encode SMS acceleration, 27,33 which reduces the reconstruction problem into a conventional one-dimensional or 2D GRAPPA interpolation problem, when the acquisition is performed without or with in-plane regularization, respectively. This approach has also been demonstrated to have interslice leakage blocking capabilities.…”

Section: Introductionmentioning

confidence: 99%

“…Split slice–GRAPPA further incorporates a leakage‐blocking kernel optimization to this reconstruction approach, albeit at the cost of increased noise amplification 29,30 . Recently, SPIRiT‐type reconstructions 6 have also been used for myocardial T 1 mapping 31 and for non‐Cartesian SMS imaging 15,32 . Finally, ReadOut (RO)–SENSE‐GRAPPA proposes the idea of readout concatenation in image domain to encode SMS acceleration, 27,33 which reduces the reconstruction problem into a conventional one‐dimensional or 2D GRAPPA interpolation problem, when the acquisition is performed without or with in‐plane regularization, respectively.…”

Section: Introductionmentioning

confidence: 99%

Improved simultaneous multislice cardiac MRI using readout concatenated k‐space SPIRiT (ROCK‐SPIRiT)

Demirel

Weingärtner

Moeller

et al. 2021

Magnetic Resonance in Med

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To develop and evaluate a simultaneous multislice (SMS) reconstruction technique that provides noise reduction and leakage blocking for highly accelerated cardiac MRI. Methods: ReadOut Concatenated k-space SPIRiT (ROCK-SPIRiT) uses the concept of readout concatenation in image domain to represent SMS encoding, and performs coil self-consistency as in SPIRiT-type reconstruction in an extended k-space, while allowing regularization for further denoising. The proposed method is implemented with and without regularization, and validated on retrospectively SMS-accelerated cine imaging with threefold SMS and twofold in-plane acceleration. ROCK-SPIRiT is compared with two leakage-blocking SMS reconstruction methods: readout-SENSE-GRAPPA and split slice-GRAPPA. Further evaluation and comparisons are performed using prospectively SMS-accelerated cine imaging. Results: Results on retrospectively threefold SMS and twofold in-plane accelerated cine imaging show that ROCK-SPIRiT without regularization significantly improves on existing methods in terms of PSNR (readout-SENSE-GRAPPA:

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Non‐Cartesian slice‐GRAPPA and slice‐SPIRiT reconstruction methods for multiband spiral cardiac MRI

Cited by 13 publications

References 38 publications

Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction

Improved Simultaneous Multi-Slice Imaging for Perfusion Cardiac MRI Using Outer Volume Suppression and Regularized Reconstruction

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Improved simultaneous multislice cardiac MRI using readout concatenated k‐space SPIRiT (ROCK‐SPIRiT)

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