Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI

Zhu, Yanchun; Liu, Jing; Weinsaft, Jonathan W.; Spincemaille, Pascal; Nguyen, Thanh D.; Prince, Martin R.; Bao, Shanglian; Xie, Yaoqin; Wang, Yi

doi:10.1155/2015/819102

Cited by 9 publications

(17 citation statements)

References 28 publications

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“…Second, the central 5‐point self‐gating signal extraction approach was used to derive motion information. In previous cardiac self‐gated MR methods, the central single point of each spoke is used to extract information about physiological motion over time . However, residual gradient errors arising from gradient delays and eddy current effects can lead to miscentering of each spoke.…”

Section: Discussionmentioning

confidence: 99%

“…To reduce respiratory motion artifacts while avoiding drastic undersampling, a respiratory histogram was calculated (shown in the Supporting Figure , available online), and 50% of the acquired data around the peak of the respiratory histogram were used in image reconstruction. Such data were sorted into a series of cardiac phases according to their corresponding cardiac motion signals.…”

Section: Methodsmentioning

confidence: 99%

“…Stack‐of‐stars bSSFP combined with golden‐angle in‐plane k‐space sampling and view‐sharing reconstruction has recently been proposed for cardiac cine imaging at 1.5T to allow for a flexibility in cardiac phase resolution . Despite promising results, 2 limitations will arise when imaging is conducted at 3T.…”

Section: Introductionmentioning

confidence: 99%

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3D self‐gated cardiac cine imaging at 3 Tesla using stack‐of‐stars bSSFP with tiny golden angles and compressed sensing

Zhang

Xie

Lü

et al. 2018

Magnetic Resonance in Med

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Purpose To develop and evaluate an accelerated 3D self‐gated cardiac cine imaging technique at 3 Tesla without the use of external electrocardiogram triggering or respiratory gating. Methods A 3D stack‐of‐stars balanced steady‐state free precession sequence with a tiny golden angle sampling scheme was developed to reduced eddy current effect‐related artefacts at 3 Tesla. Respiratory and cardiac motion were derived from a central 5‐point self‐gating signal extraction approach. The data acquired around the end‐expiration phases were then sorted into individual cardiac bins and used for reconstruction with compressed sensing. To evaluate the performance of the proposed method, image quality (1: the best; 4: the worst) was quantitatively compared using both the proposed method and the conventional 3D golden‐angle self‐gated method. Linear regression and Bland‐Altman analysis were used to assess the functional measurements agreement between the proposed method and the routine 2D breath‐hold multi‐slice technique. Results Compared to the conventional 3D golden‐angle self‐gated method, the proposed method yielded images with much less streaking artifact and higher myocardium edge sharpness (0.50 ± 0.06 vs. 0.45 ± 0.05, P = 0.004). The proposed method provided an inferior image quality score to the routine 2D technique (2.13 ± 0.35 vs. 1.38 ± 0.52, P = 0.063) but a superior one to the conventional self‐gated method (2.13 ± 0.35 vs. 3.13 ± 0.64, P = 0.031). Left ventricular functional measurements between the proposed method and routine 2D technique were all well in agreement. Conclusion This study presents a novel self‐gating approach to realize rapid 3D cardiac cine imaging at 3 Tesla.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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3D self‐gated cardiac cine imaging at 3 Tesla using stack‐of‐stars bSSFP with tiny golden angles and compressed sensing

Zhang

Xie

Lü

et al. 2018

Magnetic Resonance in Med

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“…First, it requires a reliable respiratory motion compensation strategy. Gating is usually applied based on a respiratory motion signal, so that only data with minimal motion blurring (such as at end-expiration) are used for image reconstruction [1-7]. Other approaches have been developed to correct for respiratory motion by registering MRI data or images at different motion states and then combining all of them [8-10].…”

Section: Introductionmentioning

confidence: 99%

Highly-accelerated self-gated free-breathing 3D cardiac cine MRI: validation in assessment of left ventricular function

Liu

Feng

Shen

et al. 2017

Magn Reson Mater Phy

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Object This work presents a highly-accelerated, self-gated, free-breathing 3D cardiac cine MRI method for cardiac function assessment. Materials and Methods A golden-ratio profile based variable-density, pseudo-random, Cartesian undersampling scheme was implemented for continuous 3D data acquisition. Respiratory self-gating was achieved by deriving motion signal from the acquired MRI data. A multi-coil compressed sensing technique was employed to reconstruct 4D images (3D+time). 3D cardiac cine imaging with self-gating was compared to bellows gating and the clinical standard breath-held 2D cine imaging for evaluation of self-gating accuracy, image quality, and cardiac function in eight volunteers. Reproducibility of 3D imaging was assessed. Results Self-gated 3D imaging provided an image quality score of 3.4 ± 0.7 v.s. 4.0±0 with the 2D method (p=0.06). It determined left ventricular end-systolic volume as 42.4±11.5mL, end-diastolic volume as 111.1±24.7 mL, and ejection fraction as 62.0±3.1%, which were comparable to the 2D method, with bias±1.96×std of −0.8±7.5 mL (p=0.90), 2.6±3.3mL (p=0.84) and 1.4±6.4% (p=0.45) respectively. Conclusion The proposed 3D cardiac cine imaging method enables reliable respiratory self-gating performance with good reproducibility, and provides comparable image quality and functional measurements to 2D imaging, suggesting that self-gated, free-breathing 3D cardiac cine MRI framework is promising for improved patient comfort and cardiac MRI scan efficiency.

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“…Recently, alternative cine-CMR approaches that employ non-Cartesian radial [1][2][3][4][5][6][7][8][9] and spiral [10][11][12] sampling trajectories have been proposed to potentially improve the temporal resolution. One such approach uses Golden Angle (GA) interleaving of radial spokes, 13 first shown in real-time CMR with a flexible sliding temporal window without incorporating ECG gating.…”

Section: Introductionmentioning

confidence: 99%

A fast, noniterative approach for accelerated high-temporal resolution cine-CMR using dynamically interleaved streak removal in the power-spectral encoded domain with low-pass filtering (DISPEL) and modulo-prime spokes (MoPS)

et al. 2017

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Purpose To introduce a pair of accelerated non-Cartesian acquisition principles that when combined, exploit the periodicity of k-space acquisition, and thereby enable acquisition of high-temporal cine-Cardiac Magnetic Resonance (CMR). Methods The mathematical formulation of a non-iterative, undersampled non-Cartesian cine acquisition and reconstruction is presented. First, a low-pass-filtering step that exploits streaking artifact redundancy is provided; (i.e. Dynamically Interleaved Streak removal in the Power-spectrum Encoded domain with Low-pass-filtering, or DISPEL). Next, an effective radial acquisition for the DISPEL approach that exploits the property of prime numbers is described (i.e. Modulo-Prime Spoke, or MoPS). Both DISPEL and MoPS are examined using numerical simulation of a digital heart phantom to show that high-temporal cine-CMR is feasible without removing physiologic motion versus aperiodic interleaving using Golden Angles. The combined high-temporal cine approach is next examined in 11 healthy subjects for a time-volume curve assessment of left ventricular systolic and diastolic performance versus conventional Cartesian cine-CMR reference. Results The DISPEL method was first shown using simulation under different streak-cycles to allow separation of undersampled radial streaking artifacts from physiologic motion with a sufficiently frequent streak-cycle interval. Radial interleaving with MoPS is next shown to allow interleaves with pseudo-Golden-Angle variants, and be more compatible with DISPEL against irrational and non-periodic rotation angles, including the Golden-Angle-derived rotations. In the in-vivo data, the proposed method showed no statistical difference in the systolic performance, while diastolic parameters sensitive to the cine’s temporal resolution were statistically significant (p<0.05 versus Cartesian cine). Conclusions We demonstrate a high-temporal resolution cine-CMR using DISPEL and MoPS, whose streaking artifact was separated from physiologic motion.

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Free-Breathing 3D Imaging of Right Ventricular Structure and Function Using Respiratory and Cardiac Self-Gated Cine MRI

Cited by 9 publications

References 28 publications

3D self‐gated cardiac cine imaging at 3 Tesla using stack‐of‐stars bSSFP with tiny golden angles and compressed sensing

3D self‐gated cardiac cine imaging at 3 Tesla using stack‐of‐stars bSSFP with tiny golden angles and compressed sensing

Highly-accelerated self-gated free-breathing 3D cardiac cine MRI: validation in assessment of left ventricular function

A fast, noniterative approach for accelerated high-temporal resolution cine-CMR using dynamically interleaved streak removal in the power-spectral encoded domain with low-pass filtering (DISPEL) and modulo-prime spokes (MoPS)

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