Literature DB >> 28225577

Image-based background phase error correction in 4D flow MRI revisited.

Julia Busch1, Daniel Giese2, Sebastian Kozerke1,3.   

Abstract

PURPOSE: To correct background phase errors in phase-contrast magnetic resonance imaging (MRI), image-based correction by referencing through stationary tissue is widely used. The aim of the present study was a detailed assessment of background phase errors in 4D Flow MRI and limitations of image-based correction.
MATERIALS AND METHODS: In a phantom study, 4D Flow MRI data were acquired for typical settings on two clinical 3T MR systems. Background errors were analyzed with respect to their spatial order and minimum requirements regarding the signal-to-noise ratio (SNR) and the amount of stationary tissue for image-based correction were assessed. For in vivo evaluation, data of the aorta were acquired on one 3T MR system in five healthy subjects including subsequent scans on the stationary phantom as reference.
RESULTS: Background errors were found to exhibit spatial variation of first- to third-order. For correction, a minimum SNR of 20 was needed to achieve an error of less than 0.4% of the encoding velocity. The minimum amount of stationary tissue was strongly dependent on the spatial order requiring at least 25%, 60%, and 75% of stationary tissue for first-, second-, and third-order correction. In vivo evaluation showed that with 35-41% of stationary tissue available only first-order correction yielded a significant reduction (P < 0.01).
CONCLUSION: Background phase errors can range from first to third spatial order in 4D Flow MRI requiring correction with appropriate polynomials. At the same time, the limited amount of stationary tissue available in vivo limits image-based background phase correction to first spatial order. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2017;46:1516-1525.
© 2017 International Society for Magnetic Resonance in Medicine.

Keywords:  4D Flow MRI; background phase error; cardiac magnetic resonance imaging; phase-contrast; velocity mapping

Mesh:

Year:  2017        PMID: 28225577     DOI: 10.1002/jmri.25668

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  13 in total

1.  Automatic correction of background phase offset in 4D-flow of great vessels and of the heart in MRI using a third-order surface model.

Authors:  Damian Craiem; Ariel F Pascaner; Mariano E Casciaro; Umit Gencer; Joaquin Alcibar; Gilles Soulat; Elie Mousseaux
Journal:  MAGMA       Date:  2019-06-22       Impact factor: 2.310

2.  A method to correct background phase offset for phase-contrast MRI in the presence of steady flow and spatial wrap-around artifact.

Authors:  Aaron A Pruitt; Ning Jin; Yingmin Liu; Orlando P Simonetti; Rizwan Ahmad
Journal:  Magn Reson Med       Date:  2018-11-15       Impact factor: 4.668

3.  Evaluation of self-calibrated non-linear phase-contrast correction in pediatric and congenital cardiovascular magnetic resonance imaging.

Authors:  Erin A Paul; Ana Beatriz Solana; Jimmy Duong; Amee M Shah; Wyman W Lai; Ek T Tan; Christopher J Hardy; Anjali Chelliah
Journal:  Pediatr Radiol       Date:  2020-02-11

4.  Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI.

Authors:  Sophie You; Evan M Masutani; Marcus T Alley; Shreyas S Vasanawala; Pam R Taub; Joy Liau; Anne C Roberts; Albert Hsiao
Journal:  Radiology       Date:  2021-11-30       Impact factor: 11.105

5.  Caval to pulmonary 3D flow distribution in patients with Fontan circulation and impact of potential 4D flow MRI error sources.

Authors:  Kelly Jarvis; Susanne Schnell; Alex J Barker; Michael Rose; Joshua D Robinson; Cynthia K Rigsby; Michael Markl
Journal:  Magn Reson Med       Date:  2018-09-15       Impact factor: 4.668

6.  Highly accelerated aortic 4D flow MRI using compressed sensing: Performance at different acceleration factors in patients with aortic disease.

Authors:  Ashitha Pathrose; Liliana Ma; Haben Berhane; Michael B Scott; Kelvin Chow; Christoph Forman; Ning Jin; Ali Serhal; Ryan Avery; James Carr; Michael Markl
Journal:  Magn Reson Med       Date:  2020-10-26       Impact factor: 4.668

7.  Exploring kinetic energy as a new marker of cardiac function in the single ventricle circulation.

Authors:  James Wong; Radomir Chabiniok; Shane M Tibby; Kuberan Pushparajah; Eva Sammut; David Celermajer; Daniel Giese; Tarique Hussain; Gerald F Greil; Tobias Schaeffter; Reza Razavi
Journal:  J Appl Physiol (1985)       Date:  2018-01-25

8.  A phantom study comparing radial trajectories for accelerated cardiac 4D flow MRI against a particle imaging velocimetry reference.

Authors:  Philip A Corrado; Rafael Medero; Kevin M Johnson; Christopher J François; Alejandro Roldán-Alzate; Oliver Wieben
Journal:  Magn Reson Med       Date:  2021-02-05       Impact factor: 3.737

9.  Hemodynamic forces in the left and right ventricles of the human heart using 4D flow magnetic resonance imaging: Phantom validation, reproducibility, sensitivity to respiratory gating and free analysis software.

Authors:  Johannes Töger; Per M Arvidsson; Jelena Bock; Mikael Kanski; Gianni Pedrizzetti; Marcus Carlsson; Håkan Arheden; Einar Heiberg
Journal:  PLoS One       Date:  2018-04-05       Impact factor: 3.240

10.  Disturbed left and right ventricular kinetic energy in patients with repaired tetralogy of Fallot: pathophysiological insights using 4D-flow MRI.

Authors:  Pia Sjöberg; Sebastian Bidhult; Jelena Bock; Einar Heiberg; Håkan Arheden; Ronny Gustafsson; Shahab Nozohoor; Marcus Carlsson
Journal:  Eur Radiol       Date:  2018-04-17       Impact factor: 5.315

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