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

MAGMA. 2019 Dec;32(6):629-642. doi: 10.1007/s10334-019-00765-z. Epub 2019 Jun 22.

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.

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

MeSH terms

  • Adolescent
  • Adult
  • Algorithms
  • Aorta, Abdominal / diagnostic imaging
  • Aorta, Thoracic / diagnostic imaging*
  • Electrocardiography
  • Female
  • Healthy Volunteers
  • Heart / diagnostic imaging*
  • Hemodynamics
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Imaging, Three-Dimensional
  • Magnetic Resonance Imaging*
  • Male
  • Middle Aged
  • Pattern Recognition, Automated / methods*
  • Phantoms, Imaging
  • Pulmonary Artery / diagnostic imaging*
  • Reproducibility of Results
  • Young Adult