A multi-modality approach for enhancing 4D flow magnetic resonance imaging via sparse representation

Jiacheng Zhang, Melissa C. Brindise, Sean M. Rothenberger, Michael Markl, Vitaliy L. Rayz, Pavlos P. Vlachos*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This work evaluates and applies a multi-modality approach to enhance blood flow measurements and haemodynamic analysis with phase-contrast magnetic resonance imaging (4D flow MRI) in cerebral aneurysms (CAs). Using a library of high-resolution velocity fields from patient-specific computational fluid dynamic simulations and in vitro particle tracking velocimetry measurements, the flow field of 4D flow MRI data is reconstructed as the sparse representation of the library. The method was evaluated with synthetic 4D flow MRI data in two CAs. The reconstruction enhanced the spatial resolution and velocity accuracy of the synthetic MRI data, leading to reliable pressure and wall shear stress (WSS) evaluation. The method was applied on in vivo 4D flow MRI data acquired in the same CAs. The reconstruction increased the velocity and WSS by 6-13% and 39-61%, respectively, suggesting that the accuracy of these quantities was improved since the raw MRI data underestimated the velocity and WSS by 10-20% and 40-50%, respectively. The computed pressure fields from the reconstructed data were consistent with the observed flow structures. The results suggest that using the sparse representation flow reconstruction with in vivo 4D flow MRI enhances blood flow measurement and haemodynamic analysis.

Original languageEnglish (US)
Article number20210751
JournalJournal of the Royal Society Interface
Volume19
Issue number186
DOIs
StatePublished - 2022

Keywords

  • 4D flow MRI
  • cerebral aneurysm
  • data fusion
  • haemodynamic evaluation
  • sparse representation

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Bioengineering
  • Biomaterials
  • Biochemistry
  • Biomedical Engineering

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