Literature DB >> 24306733

Analysis of an automated background correction method for cardiovascular MR phase contrast imaging in children and young adults.

Cynthia K Rigsby1, Nicholas Hilpipre, Gary R McNeal, Gang Zhang, Emma E Boylan, Andrada R Popescu, Grace Choi, Andreas Greiser, Jie Deng.   

Abstract

BACKGROUND: Phase contrast magnetic resonance imaging (MRI) is a powerful tool for evaluating vessel blood flow. Inherent errors in acquisition, such as phase offset, eddy currents and gradient field effects, can cause significant inaccuracies in flow parameters. These errors can be rectified with the use of background correction software.
OBJECTIVE: To evaluate the performance of an automated phase contrast MRI background phase correction method in children and young adults undergoing cardiac MR imaging.
MATERIALS AND METHODS: We conducted a retrospective review of patients undergoing routine clinical cardiac MRI including phase contrast MRI for flow quantification in the aorta (Ao) and main pulmonary artery (MPA). When phase contrast MRI of the right and left pulmonary arteries was also performed, these data were included. We excluded patients with known shunts and metallic implants causing visible MRI artifact and those with more than mild to moderate aortic or pulmonary stenosis. Phase contrast MRI of the Ao, mid MPA, proximal right pulmonary artery (RPA) and left pulmonary artery (LPA) using 2-D gradient echo Fast Low Angle SHot (FLASH) imaging was acquired during normal respiration with retrospective cardiac gating. Standard phase image reconstruction and the automatic spatially dependent background-phase-corrected reconstruction were performed on each phase contrast MRI dataset. Non-background-corrected and background-phase-corrected net flow, forward flow, regurgitant volume, regurgitant fraction, and vessel cardiac output were recorded for each vessel. We compared standard non-background-corrected and background-phase-corrected mean flow values for the Ao and MPA. The ratio of pulmonary to systemic blood flow (Qp:Qs) was calculated for the standard non-background and background-phase-corrected data and these values were compared to each other and for proximity to 1. In a subset of patients who also underwent phase contrast MRI of the MPA, RPA, and LPA a comparison was made between standard non-background-corrected and background-phase-corrected mean combined flow in the branch pulmonary arteries and MPA flow. All comparisons were performed using the Wilcoxon sign rank test (α = 0.05).
RESULTS: Eighty-five children and young adults (mean age 14 years; range 10 days to 32 years) met the criteria for inclusion. Background-phase-corrected mean flow values for the Ao and MPA were significantly lower than those for non-background-corrected standard Ao (P = 0.0004) and MPA flow values (P < 0.0001), respectively. However, no significant difference was seen between the standard non-background (P = 0.295) or background-phase-corrected (P = 0.0653) mean Ao and MPA flow values. Neither the mean standard non-background-corrected (P = 0.408) nor the background-phase-corrected (P = 0.0684) Qp:Qs was significantly different from 1. However in the 27 patients with standard non-background-corrected data, the difference between the Ao and MPA flow values was greater than 10%. There were 19 patients with background-phase-corrected data in which the difference between the Ao and MPA flow values was greater than 10%. In the subset of 43 patients who underwent MPA and branch pulmonary artery phase contrast MRI, the sum of the standard non-background-corrected mean RPA and LPA flow values was significantly different from the standard non-background-corrected mean MPA flow (P = 0.0337). The sum of the background-phase-corrected mean RPA and LPA flow values was not significantly different from the background-phase-corrected mean MPA flow value (P = 0.1328), suggesting improvement in pulmonary artery flow calculations using background-phase-correction.
CONCLUSION: Our data suggest that background phase correction of phase contrast MRI data does not significantly change Qp:Qs quantification, and there are residual errors in expected Qp:Qs quantification despite background phase correction. However the use of background phase correction does improve quantification of MPA flow relative to combined RPA and LPA flow. Further work is needed to validate these findings in other patient populations, using other MRI units, and across vendors.

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Year:  2013        PMID: 24306733     DOI: 10.1007/s00247-013-2830-y

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  10 in total

1.  Phase-velocity cine magnetic resonance imaging measurement of pulsatile blood flow in children and young adults: in vitro and in vivo validation.

Authors:  A J Powell; S E Maier; T Chung; T Geva
Journal:  Pediatr Cardiol       Date:  2000 Mar-Apr       Impact factor: 1.655

2.  Cardiovascular flow measurement with phase-contrast MR imaging: basic facts and implementation.

Authors:  Joachim Lotz; Christian Meier; Andreas Leppert; Michael Galanski
Journal:  Radiographics       Date:  2002 May-Jun       Impact factor: 5.333

3.  Correction of phase offset errors in main pulmonary artery flow quantification.

Authors:  Jan-Willem Lankhaar; Mark B M Hofman; J Tim Marcus; Jaco J M Zwanenburg; Theo J C Faes; Anton Vonk-Noordegraaf
Journal:  J Magn Reson Imaging       Date:  2005-07       Impact factor: 4.813

4.  Baseline correction of phase contrast images improves quantification of blood flow in the great vessels.

Authors:  Alexander Chernobelsky; Oleg Shubayev; Cindy R Comeau; Steven D Wolff
Journal:  J Cardiovasc Magn Reson       Date:  2007       Impact factor: 5.364

Review 5.  Cardiovascular applications of phase-contrast MRI.

Authors:  Monvadi B Srichai; Ruth P Lim; Samson Wong; Vivian S Lee
Journal:  AJR Am J Roentgenol       Date:  2009-03       Impact factor: 3.959

6.  Quantitation of antegrade and retrograde blood flow in the human aorta by magnetic resonance velocity mapping.

Authors:  H G Bogren; R H Klipstein; D N Firmin; R H Mohiaddin; S R Underwood; R S Rees; D B Longmore
Journal:  Am Heart J       Date:  1989-06       Impact factor: 4.749

7.  Semiautomated method for noise reduction and background phase error correction in MR phase velocity data.

Authors:  P G Walker; G B Cranney; M B Scheidegger; G Waseleski; G M Pohost; A P Yoganathan
Journal:  J Magn Reson Imaging       Date:  1993 May-Jun       Impact factor: 4.813

8.  Baseline correction of phase-contrast images in congenital cardiovascular magnetic resonance.

Authors:  Brian J Holland; Beth F Printz; Wyman W Lai
Journal:  J Cardiovasc Magn Reson       Date:  2010-03-05       Impact factor: 5.364

9.  Real-time MR imaging of aortic flow: influence of breathing on left ventricular stroke volume in chronic obstructive pulmonary disease.

Authors:  Rik J van den Hout; Hildo J Lamb; Joost G van den Aardweg; Robert Schot; Paul Steendijk; Ernst E van der Wall; Jeroen J Bax; Albert de Roos
Journal:  Radiology       Date:  2003-10-02       Impact factor: 11.105

10.  Flow measurement by cardiovascular magnetic resonance: a multi-centre multi-vendor study of background phase offset errors that can compromise the accuracy of derived regurgitant or shunt flow measurements.

Authors:  Peter D Gatehouse; Marijn P Rolf; Martin J Graves; Mark Bm Hofman; John Totman; Beat Werner; Rebecca A Quest; Yingmin Liu; Jochen von Spiczak; Matthias Dieringer; David N Firmin; Albert van Rossum; Massimo Lombardi; Juerg Schwitter; Jeanette Schulz-Menger; Philip J Kilner
Journal:  J Cardiovasc Magn Reson       Date:  2010-01-14       Impact factor: 5.364

  10 in total
  11 in total

Review 1.  Gadolinium-based contrast agents in pediatric magnetic resonance imaging.

Authors:  Eric M Gale; Peter Caravan; Anil G Rao; Robert J McDonald; Matthew Winfeld; Robert J Fleck; Michael S Gee
Journal:  Pediatr Radiol       Date:  2017-04-13

2.  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

3.  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

Review 4.  Extracardiac applications of MR blood pool contrast agent in children.

Authors:  Shannon G Farmakis; Geetika Khanna
Journal:  Pediatr Radiol       Date:  2014-11-19

5.  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

Review 6.  Advanced flow MRI: emerging techniques and applications.

Authors:  M Markl; S Schnell; C Wu; E Bollache; K Jarvis; A J Barker; J D Robinson; C K Rigsby
Journal:  Clin Radiol       Date:  2016-03-02       Impact factor: 2.350

7.  Pulmonary regurgitant volume is superior to fraction using background-corrected phase contrast MRI in determining the severity of regurgitation in repaired tetralogy of Fallot.

Authors:  Thomas M Gorter; Joost P van Melle; Hendrik G Freling; Tjark Ebels; Beatrijs Bartelds; Petronella G Pieper; Rolf M F Berger; Dirk J van Veldhuisen; Tineke P Willems
Journal:  Int J Cardiovasc Imaging       Date:  2015-05-06       Impact factor: 2.357

8.  Dual-Source Computed Tomography Evaluation of Children with Congenital Pulmonary Valve Stenosis.

Authors:  Zhanguo Sun; Wenjian Xu; Shuran Huang; Yueqin Chen; Xiang Guo; Zhitao Shi
Journal:  Iran J Radiol       Date:  2016-03-01       Impact factor: 0.212

Review 9.  MR phase-contrast imaging in pulmonary hypertension.

Authors:  Ursula Reiter; Gert Reiter; Michael Fuchsjäger
Journal:  Br J Radiol       Date:  2016-04-06       Impact factor: 3.039

10.  Cardiac magnetic resonance systematically overestimates mitral regurgitations by the indirect method.

Authors:  Litten Bertelsen; Niels Vejlstrup; Laura Andreasen; Morten Salling Olesen; Jesper Hastrup Svendsen
Journal:  Open Heart       Date:  2020-07
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