Evidence map›Paper›PMID 26969611›Full record

ArticleMagnetic resonance in medicine2017

Real-time free-breathing cardiac imaging with self-calibrated through-time radial GRAPPA.

Ozan Sayin, Haris Saybasili, M Muz Zviman, Mark Griswold, Henry Halperin, Nicole Seiberlich, Daniel A Herzka

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Two-center clinical validation and quantitative assessment of respiratory triggered retrospectively cardiac gated balanced-SSFP cine cardiovascular magnetic resonance imaging in adults.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Article
  7. Recent advances in parallel imaging for MRI.Progress in nuclear magnetic resonance spectroscopy · 2017
    Review
  8. Compressed sensing real-time cine cardiovascular magnetic resonance: accurate assessment of left ventricular function in a single-breath-hold.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ozan SayinDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Haris SaybasiliSiemens Healthcare USA, Inc., Chicago, Illinois, USA.
M Muz ZvimanDepartment of Medicine, Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Mark GriswoldDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Henry HalperinDepartment of Medicine, Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nicole SeiberlichDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Daniel A HerzkaDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Improved Targeting and Assessment of Electrophysiology InterventionR01HL094610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALPERIN, HENRY R · 2009 to 2018
$15.5M
Improved Cardiac and Vascular MRI Using Parallel Imaging and Compressed SensingR01HL094557 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GRISWOLD, MARK, SEIBERLICH, NICOLE · 2010 to 2018
$4.5M
Comprehensive quantitative ultrafast 3D liver MRIR01DK098503 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI GULANI, VIKAS, SEIBERLICH, NICOLE · 2013 to 2017
$2.6M
NHLBI NIH HHS R01 HL094557NHLBI NIH HHS R01 HL094610NIDDK NIH HHS R01 DK098503
6 · The paper itself

Abstract

purposeReal-time free-breathing cardiac imaging with highly undersampled radial trajectories has previously been successfully demonstrated using calibrated radial generalized autocalibrating partially parallel acquisition (rGRAPPA). A self-calibrated approach for rGRAPPA is proposed that removes the need for the calibration prescan.

methodsTo investigate the effect of various parameters on image quality, a comprehensive imaging study on one normal swine was performed. Root mean squared errors (RMSEs) were computed with respect to gold standard acquisitions, and several acquisition/reconstruction strategies were compared. Additionally, the method was tested on 13 human subjects, and RMSEs relative to standard through-time radial GRAPPA were computed.

resultsReal-time images with high spatiotemporal resolution were obtained. Image quality was comparable to calibrated through-time rGRAPPA with endocardial and epicardial borders clearly delineated. In the swine, the average RMSE between self-calibrated and gold-standard calibrated images was 5.18 ± 0.84%. In normal human subjects, the average RMSE between self-calibrated and calibrated through-time rGRAPPA was 3.79 ± 0.64%. For lower accelerations rates (R = 6-8) image quality was similar to comparable calibrated scans though RMSE increased for higher degrees of undersampling (R = 12-16).

conclusionHighly accelerated real-time imaging with undersampled radial trajectories without additional calibration data is feasible. Image quality was acceptable for real-time cardiac MRI applications demanding high speed. Magn Reson Med 77:250-264, 2017. © 2016 Wiley Periodicals, Inc.

Indexed as

RespirationAlgorithmsAnimalsCalibrationCardiac Imaging TechniquesHeartHumansImage Processing, Computer-AssistedMagnetic Resonance Imaging, CineSwinecardiac magnetic resonance imagingnon-Cartesian GRAPPAparallel imagingreal-time imagingself-calibration

Identifiers

PMID26969611
PMCPMC5920649

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.