Improved phase-contrast flow quantification by three-dimensional vessel localization

Meide Zhao, Fady T. Charbel, Noam Alperin, Francis Loth, M. E. Clark

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

Abstract

In this paper, a method of three-dimensional (3D) vessel localization is presented to allow the identification of a vessel of interest, the selection of a vessel segment, and the determination of a slice orientation to improve the accuracy of phase-contrast magnetic resonance (PCMR) angiography. A marching-cube surface-rendering algorithm was used to reconstruct the 3D vasculature. Surface-rendering was obtained using an iso-surface value determined from a maximum intensity projection (MIP) image. This 3D vasculature was used to find a vessel of interest, select a vessel segment, and to determine the slice orientation perpendicular to the vessel axis. Volumetric flow rate (VFR) was obtained in a phantom model and in vivo using 3D localization with double oblique cine PCMR scanning. PCMR flow measurements in the phantom showed 5.2% maximum error and a standard deviation of 9 mL/min during steady flow, 7.9% maximum error and a standard deviation of 13 mL/min during pulsatile flow compared with measurements using an ultrasonic transit-time flowmeter. PCMR VFR measurement error increased with misalignment at 10, 20, and 30 degrees oblique to the perpendicular slice in vitro and in vivo. The 3D localization technique allowed precise localization of the vessel of interest and optimal placement of the slice orientation for minimum error in flow measurements. (C) 2000 Elsevier Science Inc.

Original languageEnglish (US)
Pages (from-to)697-706
Number of pages10
JournalMagnetic Resonance Imaging
Volume18
Issue number6
DOIs
StatePublished - Aug 29 2000
Externally publishedYes

Keywords

  • Flow quantification
  • Phase-contrast
  • Three-dimensional localization

ASJC Scopus subject areas

  • Biophysics
  • Clinical Biochemistry
  • Structural Biology
  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics

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