Image-derived mean velocity measurement for prediction of coronary flow reserve in a canonical stenosis phantom using magnetic particle imaging

PLoS One. 2021 Apr 22;16(4):e0249697. doi: 10.1371/journal.pone.0249697. eCollection 2021.

Abstract

Introduction: Aim of this study is to evaluate whether magnetic particle imaging (MPI) is capable of measuring velocities occurring in the coronary arteries and to compute coronary flow reserve (CFR) in a canonical phantom as a preliminary study.

Methods: For basic velocity measurements, a circulation phantom was designed containing replaceable glass tubes with three varying inner diameters, matching coronary-vessel diameters. Standardised boluses of superparamagnetic-iron-oxide-nanoparticles were injected and visualised by MPI. Two image-based techniques were competitively applied to calibrate the respective glass tube and to compute the mean velocity: full-duration-at-half-maximum (FDHM) and tracer dilution (TD) method. For CFR-calculation, four necessary settings of the circulation model of a virtual vessel with an inner diameter of 4 mm were generated using differently sized glass tubes and a stenosis model. The respective velocities in stenotic glass tubes were computed without recalibration.

Results: On velocity level, comparison showed a good agreement (rFDHM = 0.869, rTD = 0.796) between techniques, preferably better for 4 mm and 6 mm inner diameter glass tubes. On CFR level MPI-derived CFR-prediction performed considerably inferior with a relative error of 20-44%.

Conclusions: MPI has the ability to reliably measure coronary blood velocities at rest as well as under hyperaemia and therefore may be suitable for CFR calculation. Calibration-associated accuracy of CFR-measurements has to be improved substantially in further studies.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Blood Flow Velocity
  • Coronary Circulation
  • Coronary Stenosis / blood
  • Coronary Stenosis / diagnosis*
  • Coronary Stenosis / diagnostic imaging
  • Fractional Flow Reserve, Myocardial
  • Hemodynamics
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Imaging, Three-Dimensional / methods*
  • In Vitro Techniques / methods*
  • Magnetic Phenomena
  • Models, Cardiovascular
  • Phantoms, Imaging

Grants and funding

This study was funded by the Junior Researcher Program - University Hospital Aachen: "START" (https://www.medizin.rwth-aachen.de/go/id/swfw/lidx/1) grant No. 130/16, given to Sebastian Daniel Reinartz. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.