Application of the compressed sensing technique to self‐gated cardiac cine sequences in small animals

Montesinos, Paula; Abascal, Juan F P J; Cussó, Lorena; Vaquero, J.J.; Desco, Manuel

doi:10.1002/mrm.24936

Cited by 29 publications

(35 citation statements)

References 40 publications

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“…This approach is time-consuming and renders the investigation of animal models with irregular heartbeat extremely difficult. The application of acceleration techniques, such as parallel imaging [8, 9] or compressed sensing (CS, [10]), have yielded scan-time-reductions in the assessment of left-ventricular function in mice and rats of 3 or 4 for parallel imaging [11–13], and 3 to 15 for CS [14, 15], without compromising the accuracy of cardiac functional indices. Fast, non-Cartesian imaging sequences, combined with parallel imaging [16], nonlinear inverse reconstruction [17] or k-t-SPARSE-SENSE [18] enabled the acquisition of real-time (RT) imaging of the human heart with a temporal resolution of 22–43 ms.…”

Section: Introductionmentioning

confidence: 99%

Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla— Simulations and First Application

Wech

Seiberlich

Schindele

et al. 2016

IEEE Trans. Med. Imaging

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A novel method for real-time magnetic resonance imaging for the assessment of cardiac function in mice at 9.4 T is proposed. The technique combines a highly undersampled radial gradient echo acquisition with an image reconstruction utilizing both parallel imaging and compressed sensing. Simulations on an in silico phantom were performed to determine the achievable acceleration factor and to optimize regularization parameters. Several parameters characterizing the quality of the reconstructed images (such as spatial and temporal image sharpness or compartment areas) were calculated for this purpose. Subsequently, double-gated segmented cine data as well as non-gated undersampled real-time data using only six projections per timeframe (temporal resolution ~ 10 ms) were acquired in a mid-ventricular slice of four normal mouse hearts in vivo. The highly accelerated data sets were then subjected to the introduced reconstruction technique and results were validated against the fully sampled references. Functional parameters obtained from real-time and fully sampled data agreed well with a comparable accuracy for left-ventricular volumes and a slightly larger scatter for mass. This study introduces and validates a real-time cine-MRI technique, which significantly reduces scan time in preclinical cardiac functional imaging and has the potential to investigate mouse models with abnormal heart rhythm.

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Section: Introductionmentioning

confidence: 99%

Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla— Simulations and First Application

Wech

Seiberlich

Schindele

et al. 2016

IEEE Trans. Med. Imaging

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show abstract

“…It has been successfully applied in signal processing, 44 fluorescence tomography, 45 and MRI. 25,43,46…”

Section: B the Split Bregman Methodsmentioning

confidence: 99%

“…The formulation and pseudocode of the algorithm can be found in Ref. 25 and are not replicated here. Values of µ = 1, λ = 1 were chosen according to previous tests, 46 values for α were tested as described in Subsection 2.D, and a maximum of 5000 iterations was chosen as the stopping criterion.…”

Section: C Ttvmentioning

confidence: 99%

“…Therefore, u , d i , w i , and v can be solved separately. d i and w i are solved as in TTV, 25 through shrinkage formulas,…”

Section: D Piccsmentioning

confidence: 99%

“…Furthermore, its extension to the temporal dimension, i.e., spatiotemporal total variation (TTV), has provided encouraging results in dynamic MRI. [22][23][24][25] However, to our knowledge TTV has not been applied to fMRI.…”

Section: Introductionmentioning

confidence: 99%

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Exploitation of temporal redundancy in compressed sensing reconstruction of fMRI studies with a prior‐based algorithm (PICCS)

et al. 2015

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The authors performed a comparison between three reconstructions (PICCS, TTV, and k-t FASTER) that exploit temporal redundancy in fMRI. The prior-based algorithm, PICCS, preserved BOLD activation and sensitivity/specificity better than TTV and k-t FASTER in noisy scenarios. The PICCS algorithm can potentially reach an acceleration factor of ×8 and still provide BOLD contrast in the ROI with an area under the curve over 0.99.

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MR fingerprinting with simultaneous B1 estimation

Buonincontri

Sawiak

2015

Magnetic Resonance in Med

137

191

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PurposeMR fingerprinting (MRF) can be used for quantitative estimation of physical parameters in MRI. Here, we extend the method to incorporate B1 estimation.MethodsThe acquisition is based on steady state free precession MR fingerprinting with a Cartesian trajectory. To increase the sensitivity to the B1 profile, abrupt changes in flip angle were introduced in the sequence. Slice profile and B1 effects were included in the dictionary and the results from two‐ and three‐dimensional (3D) acquisitions were compared. Acceleration was demonstrated using retrospective undersampling in the phase encode directions of 3D data exploiting redundancy between MRF frames at the edges of k‐space.ResultsWithout B1 estimation, T2 and B1 were inaccurate by more than 20%. Abrupt changes in flip angle improved B1 maps. T1 and T2 values obtained with the new MRF methods agree with classical spin echo measurements and are independent of the B1 field profile. When using view sharing reconstruction, results remained accurate (error <10%) when sampling under 10% of k‐space from the 3D data.ConclusionThe methods demonstrated here can successfully measure T1, T2, and B1. Errors due to slice profile can be substantially reduced by including its effect in the dictionary or acquiring data in 3D. Magn Reson Med 76:1127–1135, 2016. © 2015 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

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Application of the compressed sensing technique to self‐gated cardiac cine sequences in small animals

Abstract: We successfully applied our compressed sensing technique to self-gated cardiac cine acquisition in small animals, obtaining an acceleration factor of up to 15 with almost unnoticeable image degradation.

Cited by 29 publications

References 40 publications

Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla— Simulations and First Application

Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla— Simulations and First Application

Exploitation of temporal redundancy in compressed sensing reconstruction of fMRI studies with a prior‐based algorithm (PICCS)

MR fingerprinting with simultaneous B1 estimation

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