Golden ratio sparse <scp>MRI</scp> using tiny golden angles

Wundrak, Stefan; Paul, Jan; Ulrici, J.; Hell, Erich; Geibel, Margrit-Ann; Bernhardt, Peter; Rottbauer, Wolfgang; Rasche, Volker

doi:10.1002/mrm.25831

Cited by 73 publications

(89 citation statements)

References 31 publications

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“…However, for application of cardiac CINE where data is acquired continuously without interruption, in combination with balanced SSFP sequence, the golden angle step can lead to rapidly changing eddy currents, resulting in strong image artefacts [27]. Recently, a new sequence of smaller irrational angles (49.75°, 32.039°, 27.198°, 23.628°) called as tiny golden angle has been introduced for 2D golden radial acquisition [28]. Provided a sufficient number of k-space radial profiles are acquired, it has been shown that the smaller tiny golden angle of 23.628° results in k-space sampling distribution similar to standard golden angle of 111.246°, but with much better eddy current performance.…”

Section: Methodsmentioning

confidence: 99%

Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory

Usman

Ruijsink

Nazir

et al. 2017

Magnetic Resonance Imaging

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PurposeTo present a method that uses a novel free-running self-gated acquisition to achieve isotropic resolution in whole heart 3D Cartesian cardiac CINE MRI.Material and methods3D cardiac CINE MRI using navigator gating results in long acquisition times. Recently, several frameworks based on self-gated non-Cartesian trajectories have been proposed to accelerate this acquisition. However, non-Cartesian reconstructions are computationally expensive due to gridding, particularly in 3D. In this work, we propose a novel highly efficient self-gated Cartesian approach for 3D cardiac CINE MRI. Acquisition is performed using CArtesian trajectory with Spiral PRofile ordering and Tiny golden angle step for eddy current reduction (so called here CASPR-Tiger). Data is acquired continuously under free breathing (retrospective ECG gating, no preparation pulses interruption) for 4–5 min and 4D whole-heart volumes (3D + cardiac phases) with isotropic spatial resolution are reconstructed from all available data using a soft gating technique combined with temporal total variation (TV) constrained iterative SENSE reconstruction.ResultsFor data acquired on eight healthy subjects and three patients, the reconstructed images using the proposed method had good contrast and spatio-temporal variations, correctly recovering diastolic and systolic cardiac phases. Non-significant differences (P > 0.05) were observed in cardiac functional measurements obtained with proposed 3D approach and gold standard 2D multi-slice breath-hold acquisition.ConclusionThe proposed approach enables isotropic 3D whole heart Cartesian cardiac CINE MRI in 4 to 5 min free breathing acquisition.

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Section: Methodsmentioning

confidence: 99%

Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory

Usman

Ruijsink

Nazir

et al. 2017

Magnetic Resonance Imaging

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“…Using the imaging parameters proposed by Voit et al as a guide, we developed a protocol with spatial resolution on the order of 2.0 × 2.0 mm and temporal resolution on the order of 40 ms or better. To identify the acceptable limits of acceleration, we acquired a fully sampled ECG‐gated breath‐hold cine MRI data (image acquisition matrix = 144 × 144, repetition time [TR] = 2.7 ms) from a male patient (age, 63 y), retrospectively undersampled the k‐space using a TGA , and found that acceleration factor (R) ≥ 12 (i.e., 12 k‐space lines per image, temporal resolution = 32 ms) produces high data fidelity as defined by structural similarity index ≥ 0.95 (http://binarystore.wiley.com/store/10.1002/mrm.26918/asset/supinfo/mrm26918-sup-0001-suppinfo01.docx?v=1&s=0bbbe220d3be1ee9b7e8dcbdf1609493b807dc5c).…”

Section: Methodsmentioning

confidence: 99%

Validation of highly accelerated real‐time cardiac cine MRI with radial k‐space sampling and compressed sensing in patients at 1.5T and 3T

Haji‐Valizadeh

Rahsepar

Collins

et al. 2017

Magnetic Resonance in Med

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“…The second extension is to apply this framework to other self‐calibrated PI, including SPIRiT, Gridding Operator GRAPPA (GROG) and so on. Moreover, the proposed framework can also be used in cases with a small golden‐angle radial trajectory or other similar non‐Cartesian trajectories.…”

Section: Discussionmentioning

confidence: 99%

Technical Note: Sequential combination of parallel imaging and dynamic artificial sparsity framework for rapid free‐breathing golden‐angle radial dynamic MRI: K‐T ARTS‐GROWL

et al. 2017

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Purpose: To develop and validate a fast dynamic MR imaging scheme. A novel approach termed K-T ARTificial Sparsity enhanced GROWL (K-T ARTS-GROWL) is proposed that integrates dynamic artificial sparsity and GROWL-based parallel imaging (PI). Methods: Golden-angle radial k-space data are acquired with the free-breathing sampling scheme and then sorted into a time series by grouping consecutive spokes into temporal frames. The reconstruction framework sequentially applies PI and dynamic artificial sparsity. In the implementation, GROWL is taken as a special PI instance for its high computational efficiency and the K-T sparse is exploited to improve the PI reconstruction performance, because the dynamic MR images are often sparse in the x-f domain. In the final reconstruction procedure, artificial sparsity is constructed and fed back to the previous reconstruction. Results: The K-T ARTS-GROWL results in high spatial and temporal resolution reconstructions. By exploiting dynamic artificial sparsity, the acceleration capability is further improved compared to the PI alone. The experimental results demonstrate that K-T ARTS-GROWL leads to significantly better image quality (P < 0.05) than the frame-by-frame GROWL and frame-by-frame ARTS-GROWL for in vivo liver imaging. Compared with the tested K-T reconstruction algorithms, the K-T ARTS-GROWL results in a better or comparable image quality and temporal resolution with greatly decreased computational costs. Conclusion: The proposed technique enables sparse, fast imaging of high spatial, high temporal resolutions for dynamic MRI.

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Golden ratio sparse MRI using tiny golden angles

Abstract: This work enables sparse, golden-ratio-based imaging with balanced SSFP sequences. Magn Reson Med 75:2372-2378, 2016. © 2015 Wiley Periodicals, Inc.

Cited by 73 publications

References 31 publications

Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory

Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory

Validation of highly accelerated real‐time cardiac cine MRI with radial k‐space sampling and compressed sensing in patients at 1.5T and 3T

Technical Note: Sequential combination of parallel imaging and dynamic artificial sparsity framework for rapid free‐breathing golden‐angle radial dynamic MRI: K‐T ARTS‐GROWL

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