Rapid single‐breath‐hold 3D late gadolinium enhancement cardiac MRI using a stack‐of‐spirals acquisition

Shin, Taehoon; Lustig, Michael; Nishimura, Dwight G.; Hu, B. L.

doi:10.1002/jmri.24494

Cited by 27 publications

(28 citation statements)

References 36 publications

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“…Non-Cartesian GRAPPA has also been applied for renal MRA [72], myocardial [83] and liver perfusion [84], and abdominal T 1 mapping [85]. Late gadolinium enhancement (LGE) cardiac imaging with a 3D spiral trajectory has been accelerated using SPIRiT to enable whole-heart coverage in one breathhold [86]. Radial SPIRiT with compressed sensing has been reported for velocity-encoded MRI [87,88] and real-time imaging of the airway during sleep apnea [89].…”

Section: Non-cartesian Parallel Imagingmentioning

confidence: 99%

Recent advances in parallel imaging for MRI

Hamilton

Franson

Seiberlich

2017

Progress in Nuclear Magnetic Resonance Spectroscopy

181

125

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Magnetic Resonance Imaging (MRI) is an essential technology in modern medicine. However, one of its main drawbacks is the long scan time needed to localize the MR signal in space to generate an image. This review article summarizes some basic principles and recent developments in parallel imaging, a class of image reconstruction techniques for shortening scan time. First, the fundamentals of MRI data acquisition are covered, including the concepts of k-space, undersampling, and aliasing. It is demonstrated that scan time can be reduced by sampling a smaller number of phase encoding lines in k-space; however, without further processing, the resulting images will be degraded by aliasing artifacts. Nearly all modern clinical scanners acquire data from multiple independent receiver coil arrays. Parallel imaging methods exploit properties of these coil arrays to separate aliased pixels in the image domain or to estimate missing k-space data using knowledge of nearby acquired k-space points. Three parallel imaging methods—SENSE, GRAPPA, and SPIRiT—are described in detail, since they are employed clinically and form the foundation for more advanced methods. These techniques can be extended to non-Cartesian sampling patterns, where the collected k-space points do not fall on a rectangular grid. Non-Cartesian acquisitions have several beneficial properties, the most important being the appearance of incoherent aliasing artifacts. Recent advances in simultaneous multi-slice imaging are presented next, which use parallel imaging to disentangle images of several slices that have been acquired at once. Parallel imaging can also be employed to accelerate 3D MRI, in which a contiguous volume is scanned rather than sequential slices. Another class of phase-constrained parallel imaging methods takes advantage of both image magnitude and phase to achieve better reconstruction performance. Finally, some applications are presented of parallel imaging being used to accelerate MR Spectroscopic Imaging.

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Section: Non-cartesian Parallel Imagingmentioning

confidence: 99%

Recent advances in parallel imaging for MRI

Hamilton

Franson

Seiberlich

2017

Progress in Nuclear Magnetic Resonance Spectroscopy

181

125

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“…It was also sometimes present in the region of the inferior myocardium close to the lung and spleen interface next to the mid to apical LV inferior wall. Both of the previous studies that used spiral readouts for 3D LGE imaging were performed at 1.5T, where off‐resonance is less of a problem . In this study, the combination of a short spiral read duration and careful shimming minimized off‐resonance blurring and achieved similar image sharpness compared to the breath‐hold 2D images.…”

Section: Discussionmentioning

confidence: 76%

“…A global off‐resonance correction was applied offline to improve image quality over the LV for five of the patients. The use of a spatially varying off‐resonance correction, as used by both Knowles et al and Shin et al , would further reduce blurring and improve image quality. However, access to the field maps required to implement this was not available in this study.…”

Section: Discussionmentioning

confidence: 99%

“…Enhanced tissue was then defined as all pixels between the endocardium and epicardium ROIs with intensity greater than 2 SDs above the mean of selected nulled tissue . The enhancement ratio was calculated as (S enh – S null )/S null where S enh is the mean signal intensity in the enhanced region(s) and S null is the mean signal intensity in nulled regions . Enhancement volume was calculated as the sum of enhanced pixels multiplied by the spatial resolution, using slice thickness of 10 mm (7 mm slice + 3 mm slice gap) for 2D Cartesian images and 5 mm for 3D spiral images.…”

Section: Methodsmentioning

confidence: 99%

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Free‐breathing 3D late gadolinium enhancement imaging of the left ventricle using a stack of spirals at 3T

Pierce

Keegan

Drivas

et al. 2014

Magnetic Resonance Imaging

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PurposeTo develop navigator-gated free-breathing 3D spiral late gadolinium enhancement (LGE) imaging of the left ventricle at 3T and compare it with conventional breath-hold 2D Cartesian imaging.Materials and MethodsEquivalent slices from 3D spiral and multislice 2D Cartesian acquisitions were compared in 15 subjects in terms of image quality (1, nondiagnostic to 5, excellent), sharpness (1–3), and presence of artifacts (0–2). Blood signal-to-noise ratio (SNR), blood/myocardium contrast-to-noise ratio (CNR), and quantitative sharpness were also compared.ResultsAll 3D spiral scans were completed faster than an equivalent 2D Cartesian short-axis stack (85 vs. 230 sec, P < 0.001). Image quality was significantly higher for 2D Cartesian images than 3D spiral images (3.7 ± 0.87 vs. 3.4 ± 1.05, P = 0.03) but not for mid or apical slices specifically. There were no significant differences in qualitative and quantitative sharpness (95% confidence interval [CI]: 1.91 ± 0.67 vs. 1.93 ± 0.69, P = 0.83 and 95% CI: 0.41 ± 0.07 vs. 0.40 ± 0.09, P = 0.25, respectively), artifact scores (95% CI: 0.16 ± 0.37 vs. 0.40 ± 0.58, P = 0.16), SNR (95% CI: 121.5 ± 55.3 vs. 136.4 ± 77.9, P = 0.13), and CNR (95% CI: 101.6 ± 48.4 vs. 102.7 ± 61.8, P = 0.98). Similar enhancement ratios (0.65 vs. 0.62) and volumes (13.8 vs. 14.1cm3) were measured from scar regions of three patients.ConclusioNavigator-gated 3D spiral LGE imaging can be performed in significantly and substantially shorter acquisition durations, although with some reduced image quality, than multiple breath-hold 2D Cartesian imaging while providing higher resolution and contiguous coverage..

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“…However, while in vivo LGE-CMR using experimental protocols can achieve an isotropic voxel size of 1.3 mm, 10–13 standard clinical LGE-CMR protocols consist of acquiring a sequence of short-axis two-dimensional (2D) multi-slice image sequences, 2 with a coarse resolution, especially in the out-of-plane direction, where the slice thickness is 8–10 mm. Thus, there is a need for an accurate method to obtain 3D reconstructions of infarct regions with sub-millimeter voxel size from low-resolution clinical images.…”

Section: Introductionmentioning

confidence: 99%

Image-based reconstruction of 3D myocardial infarct geometry for patient specific applications

et al. 2015

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Accurate reconstruction of the three-dimensional (3D) geometry of a myocardial infarct from two-dimensional (2D) multi-slice image sequences has important applications in the clinical evaluation and treatment of patients with ischemic cardiomyopathy. However, this reconstruction is challenging because the resolution of common clinical scans used to acquire infarct structure, such as short-axis, late-gadolinium enhanced cardiac magnetic resonance (LGE-CMR) images, is low, especially in the out-of-plane direction. In this study, we propose a novel technique to reconstruct the 3D infarct geometry from low resolution clinical images. Our methodology is based on a function called logarithm of odds (LogOdds), which allows the broader class of linear combinations in the LogOdds vector space as opposed to being limited to only a convex combination in the binary label space. To assess the efficacy of the method, we used high-resolution LGE-CMR images of 36 human hearts in vivo, and 3 canine hearts ex vivo. The infarct was manually segmented in each slice of the acquired images, and the manually segmented data were downsampled to clinical resolution. The developed method was then applied to the downsampled image slices, and the resulting reconstructions were compared with the manually segmented data. Several existing reconstruction techniques were also implemented, and compared with the proposed method. The results show that the LogOdds method significantly outperforms all the other tested methods in terms of region overlap.

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Rapid single‐breath‐hold 3D late gadolinium enhancement cardiac MRI using a stack‐of‐spirals acquisition

Abstract: Stack-of-spiral acquisition combined with non-Cartesian SPIRiT parallel imaging enables rapid 3D LGE MRI in a 12 heartbeat-long breath-hold.J.

Cited by 27 publications

References 36 publications

Recent advances in parallel imaging for MRI

Recent advances in parallel imaging for MRI

Free‐breathing 3D late gadolinium enhancement imaging of the left ventricle using a stack of spirals at 3T

Image-based reconstruction of 3D myocardial infarct geometry for patient specific applications

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