Autocalibrated multiband CAIPIRINHA with through‐time encoding: Proof of principle and application to cardiac tissue phase mapping

Ferrazzi, Giulio; Bassenge, Jean Pierre; Wink, Clarissa; Ruh, Alexander; Markl, Michael; Moeller, Steen; Metzger, Gregory J.; Ittermann, Bernd; Schmitter, Sebastian

doi:10.1002/mrm.27460

Cited by 15 publications

(27 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first time, only the odd cardiac phases of Figure 1A were considered, and the second time the even cardiac phases. This generated two fully sampled synthetic MB2 data sets (

C_{1}

and

C_{2}

) at the full resolution scale, and because of the temporal alternation of the MB pulses in Figure 1A, these images have predefined phase offsets in image space 28 . Finally, this predicted phase behavior can be exploited to generate sensitivity information at both slice locations (

S_{1}

and

S_{2}

) by applying Hadamard decoding 35 (ie,

{bold-italicS}_{1} = {bold-italicC}_{1} + {bold-italicC}_{2}

and

{bold-italicS}_{2} = {bold-italicC}_{1} - {bold-italicC}_{2}

).…”

Section: Methodsmentioning

confidence: 99%

“…Simultaneous multislice imaging, 16 also called multiband (MB), in combination with CAIPIRINHA encoding, 17,18 is a promising technique to address this problem, as it allows to excite and acquire multiple slices at the same time. The benefits of MB have been demonstrated in cardiac MRI, 19‐27 and the technique was recently extended to TPM with one‐directional velocity encoding 28 . Two recent studies have also demonstrated the benefit of autocalibrated MB, 28,29 a variant of MB‐CAIPIRINHA encoding that does not require external reference scans for the reconstruction, thus limiting the number of required breath‐holds to only one.…”

Section: Introductionmentioning

confidence: 99%

“…The benefits of MB have been demonstrated in cardiac MRI, [19][20][21][22][23][24][25][26][27] and the technique was recently extended to TPM with one-directional velocity encoding. 28 Two recent studies have also demonstrated the benefit of autocalibrated MB, 28,29 a variant of MB-CAIPIRINHA encoding that does not require external reference scans for the reconstruction, thus limiting the number of required breath-holds to only one.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Autocalibrated cardiac tissue phase mapping with multiband imaging and k‐t acceleration

Ferrazzi

Bassenge

Mayer

et al. 2020

Magnetic Resonance in Med

Self Cite

View full text Add to dashboard Cite

Purpose To develop an autocalibrated multiband (MB) CAIPIRINHA acquisition scheme with in‐plane k‐t acceleration enabling multislice three‐directional tissue phase mapping in one breath‐hold. Methods A k‐t undersampling scheme was integrated into a time‐resolved electrocardiographic‐triggered autocalibrated MB gradient‐echo sequence. The sequence was used to acquire data on 4 healthy volunteers with MB factors of two (MB2) and three (MB3), which were reconstructed using a joint reconstruction algorithm that tackles both k‐t and MB acceleration. Forward simulations of the imaging process were used to tune the reconstruction model hyperparameters. Direct comparisons between MB and single‐band tissue phase‐mapping measurements were performed. Results Simulations showed that the velocities could be accurately reproduced with MB2 k‐t (average ± twice the SD of the RMS error of 0.08 ± 0.22 cm/s and velocity peak reduction of 1.03% ± 6.47% compared with fully sampled velocities), whereas acceptable results were obtained with MB3 k‐t (RMS error of 0.13 ± 0.58 cm/s and peak reduction of 2.21% ± 13.45%). When applied to tissue phase‐mapping data, the proposed technique allowed three‐directional velocity encoding to be simultaneously acquired at two/three slices in a single breath‐hold of 18 heartbeats. No statistically significant differences were detected between MB2/MB3 k‐t and single‐band k‐t motion traces averaged over the myocardium. Regional differences were found, however, when using the American Heart Association model for segmentation. Conclusion An autocalibrated MB k‐t acquisition/reconstruction framework is presented that allows three‐directional velocity encoding of the myocardial velocities at multiple slices in one breath‐hold.

show abstract

“…The first time, only the odd cardiac phases of Figure 1A were considered, and the second time the even cardiac phases. This generated two fully sampled synthetic MB2 data sets (

C_{1}

and

C_{2}

S_{1}

and

S_{2}

) by applying Hadamard decoding 35 (ie,

{bold-italicS}_{1} = {bold-italicC}_{1} + {bold-italicC}_{2}

and

{bold-italicS}_{2} = {bold-italicC}_{1} - {bold-italicC}_{2}

).…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Autocalibrated cardiac tissue phase mapping with multiband imaging and k‐t acceleration

Ferrazzi

Bassenge

Mayer

et al. 2020

Magnetic Resonance in Med

Self Cite

View full text Add to dashboard Cite

show abstract

“…Pseudo-code of slice-SPIRiT is provided in the Supporting Information S2. The slice-SPIRiT model requires both a slice-separating kernel, K, and an inplane SPIRiT kernel, G, and both kernels are computed from (6) minimize…”

Section: Slice-spiritmentioning

confidence: 99%

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

Sun

Yang

Cai

et al. 2019

Magnetic Resonance in Med

View full text Add to dashboard Cite

Purpose: Spiral MRI has advantages for cardiac imaging, and multiband (MB) spiral MRI of the heart shows promise. However, current reconstruction methods for MB spiral imaging have limitations. We sought to develop improved reconstruction methods for MB spiral cardiac MRI. Methods: Two reconstruction methods were developed. The first is non-Cartesian slice-GRAPPA (NCSG), which uses phase demodulation and gridding operations before application of a Cartesian slice-separating kernel. The second method, slice-SPIRiT, formulates the reconstruction as a minimization problem that enforces in-plane coil consistency and consistency with the acquired MB data, and uses through-plane coil sensitivity information in the iterative solution. These methods were compared with conjugate-gradient SENSE in phantoms and volunteers. Temporal alternation of CAIPIRINHA (controlled aliasing in parallel imaging results in higher acceleration) phase and the use of a temporal filter were also investigated. Results: Phantom experiments with 3 simultaneous slices (MB = 3) showed that mean artifact power was highest for conjugate-gradient SENSE, lower for NCSG, and lowest for slice-SPIRiT. For volunteer cine imaging (MB = 3, N = 5), the artifact power was 0.182 ± 0.037, 0.148 ± 0.036, and 0.139 ± 0.034 for conjugate-gradient SENSE, NCSG, and slice-SPIRiT, respectively (P < .05, analysis of variance). Temporal alternation of CAIPIRINHA reduced artifacts for both NCSG and slice-SPIRiT. Conclusion: The NCSG and slice-SPIRiT methods provide more accurate reconstructions for MB spiral cine imaging compared with conjugate-gradient SENSE. These methods hold promise for non-Cartesian MB imaging.

show abstract

“…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

151

135

View full text Add to dashboard Cite

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...

show abstract

Autocalibrated multiband CAIPIRINHA with through‐time encoding: Proof of principle and application to cardiac tissue phase mapping

Cited by 15 publications

References 29 publications

Autocalibrated cardiac tissue phase mapping with multiband imaging and k‐t acceleration

Autocalibrated cardiac tissue phase mapping with multiband imaging and k‐t acceleration

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

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

Contact Info

Product

Resources

About