Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Four-dimensional phase contrast MRI with accelerated dual velocity encoding

Elizabeth J. Nett*, Kevin M. Johnson, Alex Frydrychowicz, Alejandro Munoz Del Rio, Eric Schrauben, Christopher J. Francois, Oliver Wieben

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Purpose: To validate a novel approach for accelerated four-dimensional phase contrast MR imaging (4D PC-MRI) with an extended range of velocity sensitivity. Materials and Methods: 4D PC-MRI data were acquired with a radially undersampled trajectory (PC-VIPR). A dual Venc (dVenc) processing algorithm was implemented to investigate the potential for scan time savings while providing an improved velocity-to-noise ratio. Flow and velocity measurements were compared with a flow pump, conventional 2D PC MR, and single Venc 4D PC-MRI in the chest of 10 volunteers. Results: Phantom measurements showed excellent agreement between accelerated dVenc 4D PC-MRI and the pump flow rate (R2 ≥ 0.97) with a three-fold increase in measured velocity-to-noise ratio (VNR) and a 5% increase in scan time. In volunteers, reasonable agreement was found when combining 100% of data acquired with Venc = 80 cm/s and 25% of the high Venc data, providing the VNR of a 80 cm/s acquisition with a wider velocity range of 160 cm/s at the expense of a 25% longer scan. Conclusion: Accelerated dual Venc 4D PC-MRI was demonstrated in vitro and in vivo. This acquisition scheme is well suited for vascular territories with wide ranges of flow velocities such as congenital heart disease, the hepatic vasculature, and others.

OriginalspracheEnglisch
ZeitschriftJournal of Magnetic Resonance Imaging
Jahrgang35
Ausgabenummer6
Seiten (von - bis)1462-1471
Seitenumfang10
ISSN1053-1807
DOIs
PublikationsstatusVeröffentlicht - 01.06.2012

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Fingerprint

Untersuchen Sie die Forschungsthemen von „Four-dimensional phase contrast MRI with accelerated dual velocity encoding“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren