Literature DB >> 31230182

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

Damian Craiem1, Ariel F Pascaner2, Mariano E Casciaro2, Umit Gencer3, Joaquin Alcibar2, Gilles Soulat3, Elie Mousseaux3.   

Abstract

OBJECTIVE: To evaluate an automatic correction method for velocity offset errors in cardiac 4D-flow acquisitions.
MATERIALS AND METHODS: Velocity offset correction was done in a plane-by-plane scheme and compared to a volumetric approach. Stationary regions were automatically detected. In vitro experiments were conducted in a phantom using two orientations and two encoding velocities (Venc). First- to third-order models were fit to the time-averaged images of the three velocity components. In vivo experiments included realistic ROIs in a volunteer superimposed to a phantom. In 15 volunteers, blood flow volume of the proximal and distal descending aorta, of the pulmonary artery (Qp) and the ascending aorta (Qs) was compared.
RESULTS: Offset errors were reduced after correction with a third-order model, yielding residual phantom velocities below 0.6 cm/s and 0.4% of Venc. The plane-by-plane correction method was more effective than the volumetric approach. Mean velocities through superimposed ROIs of a volunteer vs phantom were highly correlated (r2 = 0.96). The significant difference between proximal and distal descending aortic flows was decreased after correction from 8.1 to - 1.4 ml (p < 0.001) and Qp/Qs reduced from 1.08 ± 0.09 to 1.01 ± 0.05. DISCUSSION: An automatic third-order model corrected velocity offset errors in 4D-flow acquisitions, achieving acceptable levels for clinical applications.

Entities:  

Keywords:  Blood flow; Eddy currents; Phase-contrast MRI; Velocity offset error

Mesh:

Year:  2019        PMID: 31230182     DOI: 10.1007/s10334-019-00765-z

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  26 in total

1.  Pulmonary arterial resistance: noninvasive measurement with indexes of pulmonary flow estimated at velocity-encoded MR imaging--preliminary experience.

Authors:  E Mousseaux; J P Tasu; O Jolivet; G Simonneau; J Bittoun; J C Gaux
Journal:  Radiology       Date:  1999-09       Impact factor: 11.105

2.  Turbulent Kinetic Energy Assessed by Multipoint 4-Dimensional Flow Magnetic Resonance Imaging Provides Additional Information Relative to Echocardiography for the Determination of Aortic Stenosis Severity.

Authors:  Christian Binter; Alexander Gotschy; Simon H Sündermann; Michelle Frank; Felix C Tanner; Thomas F Lüscher; Robert Manka; Sebastian Kozerke
Journal:  Circ Cardiovasc Imaging       Date:  2017-06       Impact factor: 7.792

3.  Concomitant gradient terms in phase contrast MR: analysis and correction.

Authors:  M A Bernstein; X J Zhou; J A Polzin; K F King; A Ganin; N J Pelc; G H Glover
Journal:  Magn Reson Med       Date:  1998-02       Impact factor: 4.668

4.  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

5.  Rapid pediatric cardiac assessment of flow and ventricular volume with compressed sensing parallel imaging volumetric cine phase-contrast MRI.

Authors:  Albert Hsiao; Michael Lustig; Marcus T Alley; Mark Murphy; Frandics P Chan; Robert J Herfkens; Shreyas S Vasanawala
Journal:  AJR Am J Roentgenol       Date:  2012-03       Impact factor: 3.959

6.  4D flow MRI and T1 -Mapping: Assessment of altered cardiac hemodynamics and extracellular volume fraction in hypertrophic cardiomyopathy.

Authors:  Pim van Ooij; Bradley D Allen; Carla Contaldi; Julio Garcia; Jeremy Collins; James Carr; Lubna Choudhury; Robert O Bonow; Alex J Barker; Michael Markl
Journal:  J Magn Reson Imaging       Date:  2015-07-31       Impact factor: 4.813

7.  Perioperative evaluation of regional aortic wall shear stress patterns in patients undergoing aortic valve and/or proximal thoracic aortic replacement.

Authors:  Emilie Bollache; Paul W M Fedak; Pim van Ooij; Ozair Rahman; S Chris Malaisrie; Patrick M McCarthy; James C Carr; Alex Powell; Jeremy D Collins; Michael Markl; Alex J Barker
Journal:  J Thorac Cardiovasc Surg       Date:  2017-11-16       Impact factor: 5.209

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

Authors:  Cynthia K Rigsby; Nicholas Hilpipre; Gary R McNeal; Gang Zhang; Emma E Boylan; Andrada R Popescu; Grace Choi; Andreas Greiser; Jie Deng
Journal:  Pediatr Radiol       Date:  2013-12-05

9.  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.  Qualitative grading of aortic regurgitation: a pilot study comparing CMR 4D flow and echocardiography.

Authors:  Raluca G Chelu; Annemien E van den Bosch; Matthijs van Kranenburg; Albert Hsiao; Allard T van den Hoven; Mohamed Ouhlous; Ricardo P J Budde; Kirsten M Beniest; Laurens E Swart; Adriaan Coenen; Marisa M Lubbers; Piotr A Wielopolski; Shreyas S Vasanawala; Jolien W Roos-Hesselink; Koen Nieman
Journal:  Int J Cardiovasc Imaging       Date:  2016-02       Impact factor: 2.357

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  1 in total

Review 1.  Abdominal applications of quantitative 4D flow MRI.

Authors:  Thekla H Oechtering; Grant S Roberts; Nikolaos Panagiotopoulos; Oliver Wieben; Alejandro Roldán-Alzate; Scott B Reeder
Journal:  Abdom Radiol (NY)       Date:  2021-11-27
  1 in total

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