Non-invasive estimation of relative pressure in turbulent flow using virtual work-energy

David Marlevi*, Hojin Ha, Desmond Dillon-Murphy, Joao F. Fernandes, Daniel Fovargue, Massimiliano Colarieti-Tosti, Matilda Larsson, Pablo Lamata, C. Alberto Figueroa, Tino Ebbers, David A. Nordsletten

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)
140 Downloads (Pure)

Abstract

Vascular pressure differences are established risk markers for a number of cardiovascular diseases. Relative pressures are, however, often driven by turbulence-induced flow fluctuations, where conventional non-invasive methods may yield inaccurate results. Recently, we proposed a novel method for non-turbulent flows, νWERP, utilizing the concept of virtual work-energy to accurately probe relative pressure through complex branching vasculature. Here, we present an extension of this approach for turbulent flows: νWERP-t. We present a theoretical method derivation based on flow covariance, quantifying the impact of flow fluctuations on relative pressure. νWERP-t is tested on a set of in-vitro stenotic flow phantoms with data acquired by 4D flow MRI with six-directional flow encoding, as well as on a patient-specific in-silico model of an acute aortic dissection. Over all tests νWERP-t shows improved accuracy over alternative energy-based approaches, with excellent recovery of estimated relative pressures. In particular, the use of a guaranteed divergence-free virtual field improves accuracy in cases where turbulent flows skew the apparent divergence of the acquired field. With the original νWERP allowing for assessment of relative pressure into previously inaccessible vasculatures, the extended νWERP-t further enlarges the method's clinical scope, underlining its potential as a novel tool for assessing relative pressure in-vivo.

Original languageEnglish
Article number101627
JournalMedical Image Analysis
Volume60
Early online date12 Dec 2019
DOIs
Publication statusPublished - 1 Feb 2020

Keywords

  • 4D flow MRI
  • Fluid mechanics
  • Relative pressure
  • Turbulence
  • Turbulent energy dissipation
  • Virtual work-energy

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