Left ventricular volume measurements with free breathing respiratory self-gated 3-dimensional golden angle radial whole-heart cine imaging – Feasibility and reproducibility

Holst, Karen; Sigfridsson, Andreas

doi:10.1016/j.mri.2017.07.002

Cited by 9 publications

(12 citation statements)

References 30 publications

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“…Often, the NAV‐based methods rely solely on magnitude, and the inspiratory and expiratory slopes are often grouped together. Retrospective respiratory self‐gating, as done here and by others , has the advantage over prospective methods in that the respiratory phase is easier to assess, because information about the whole respiratory cycle is available.…”

Section: Discussionmentioning

confidence: 90%

“…Respiratory self-gating in these studies was based on radial data acquisition, which uses the frequent sampling of k-space center for high motion sensitivity, and binning is made possible from goldenangle ordering of the acquired radial spokes. Cardiac cine imaging with double golden-angle acquisition, respiratory binning, and k-space-based self-gating has recently been evaluated for a single respiratory phase against gold-standard 2D breath-held cine for LV volumes in the cardiac cycle, including end-diastolic and systolic volumes, ejection fraction, stroke volume, and LV mass (21). That study showed excellent agreement between LV end-diastolic volume by 2D breath-holding and the end-expiratory phase LVEDV from the same free-breathing 3D technique used in the current study.…”

Section: Introductionmentioning

confidence: 99%

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Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Holst

Sigfridsson

2017

Magnetic Resonance in Med

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Section: Discussionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Holst

Sigfridsson

2017

Magnetic Resonance in Med

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“…The k -space-based respiratory self-gating has been described in detail previously [ 12 , 14 ]. In short, the k -space-based self-gating signal was extracted from a matrix consisting of the k -space center sample in each spoke for all coil elements.…”

Section: Methodsmentioning

confidence: 99%

“…Measurements of variation in LV volumes during respiration by 3D imaging has been attempted in healthy volunteers [ 12 ], but has to our knowledge never been tested in patients. Respiratory variation in LV function during free breathing has been studied in patients by measuring septal excursion with 2D imaging [ 10 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

“…A method for respiratory-resolved free breathing 3D acquisition has previously been developed [ 12 , 14 ], evaluated in healthy individuals, and successfully illustrated the respiratory variation in LV end-diastolic volumes (EDV) [ 14 ]. Two challenges were identified in the method; reduced image quality caused by eddy current effects, and sensitivity to changes in respiratory patterns with the respiratory self-gating method.…”

Section: Introductionmentioning

confidence: 99%

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Projection-based respiratory-resolved left ventricular volume measurements in patients using free-breathing double golden-angle 3D radial acquisition

Holst

Fyrdahl

Caidahl

et al. 2018

Magn Reson Mater Phy

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Objective To refine a new technique to measure respiratory-resolved left ventricular end-diastolic volume (LVEDV) in mid-inspiration and mid-expiration using a respiratory self-gating technique and demonstrate clinical feasibility in patients. Materials and methods Ten consecutive patients were imaged at 1.5 T during 10 min of free breathing using a 3D golden-angle radial trajectory. Two respiratory self-gating signals were extracted and compared: from the k -space center of all acquired spokes, and from a superior–inferior projection spoke repeated every 64 ms. Data were binned into end-diastole and two respiratory phases of 15% respiratory cycle duration in mid-inspiration and mid-expiration. LVED volume and septal–lateral diameter were measured from manual segmentation of the endocardial border. Results Respiratory-induced variation in LVED size expressed as mid-inspiration relative to mid-expiration was, for volume, 1 ± 8% with k -space-based self-gating and 8 ± 2% with projection-based self-gating ( P = 0.04), and for septal–lateral diameter, 2 ± 2% with k -space-based self-gating and 10 ± 1% with projection-based self-gating ( P = 0.002). Discussion Measuring respiratory variation in LVED size was possible in clinical patients with projection-based respiratory self-gating, and the measured respiratory variation was consistent with previous studies on healthy volunteers. Projection-based self-gating detected a higher variation in LVED volume and diameter during respiration, compared to k -space-based self-gating.

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Fetal 3D cardiovascular cine image acquisition using radial sampling and compressed sensing

Piek

Ryd

Töger

et al. 2022

Magnetic Resonance in Med

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Purpose To explore a fetal 3D cardiovascular cine acquisition using a radial image acquisition and compressed‐sensing reconstruction and compare image quality and scan time with conventional multislice 2D imaging. Methods Volumetric fetal cardiac data were acquired in 26 volunteers using a radial 3D balanced SSFP pulse sequence. Cardiac gating was performed using a Doppler ultrasound device. Images were reconstructed using a parallel‐imaging and compressed‐sensing algorithm. Multiplanar reformatting to standard cardiac views was performed before image analysis. Clinical 2D images were used for comparison. Qualitative and quantitative image evaluation were performed by two experienced observers (scale: 1–4). Volumes, mass, and function were assessed. Results Average scan time for the 3D imaging was 6 min, including one localizer. A 2D imaging stack covering the entire heart including localizer sequences took at least 6.5 min, depending on planning complexity. The 3D acquisition was successful in 7 of 26 subjects (27%). Overall image contrast and perceived resolution were lower in the 3D images. Nonetheless, the 3D images had, on average, a moderate cardiac diagnostic quality (median [range]: 3 [1–4]). Standard clinical 2D acquisitions had a high cardiac diagnostic quality (median [range]: 4 [3, 4]). Cardiac measurements were not different between 2D and 3D images (all p > 0.16). Conclusion The presented free‐breathing whole‐heart fetal 3D radial cine MRI acquisition and reconstruction method enables retrospective visualization of all cardiac views while keeping examination times short. This proof‐of‐concept work produced images with diagnostic quality, while at the same time reducing the planning complexity to a single localizer.

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Left ventricular volume measurements with free breathing respiratory self-gated 3-dimensional golden angle radial whole-heart cine imaging – Feasibility and reproducibility

Cited by 9 publications

References 30 publications

Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Respiratory variation in left ventricular cardiac function with 3D double golden‐angle whole‐heart cine imaging

Projection-based respiratory-resolved left ventricular volume measurements in patients using free-breathing double golden-angle 3D radial acquisition

Fetal 3D cardiovascular cine image acquisition using radial sampling and compressed sensing

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