Optimal Dual-VENC Unwrapping in Phase-Contrast MRI

Hugo Carrillo, Axel Osses, Sergio Uribe, Cristobal Bertoglio

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)

Abstract

Dual-VENC strategies have been proposed to improve the velocity-to-noise ratio in phase-contrast MRI. However, they are based on aliasing-free high-VENC data. The aim of this paper is to propose a dual-VENC velocity estimation method allowing high-VENC aliased data. For this purpose, we reformulate the phase-contrast velocity as a least squares estimator, providing a natural framework for including multiple encoding gradient measurements. By analyzing the mathematical properties of both single- A nd dual-VENC problems, we can justify theoretically high/low-VENC ratios such that the aliasing velocity can be minimized. The resulting reconstruction algorithm was assessed using three types of data: Numerical, experimental, and volunteers. In clinical practice, this method would allow shorter examination times by avoiding tedious adaptation of VENC values by repeated scans.

Original languageEnglish
Pages (from-to)1263-1270
Number of pages8
JournalIEEE Transactions on Medical Imaging
Volume38
Issue number5
DOIs
Publication statusPublished - May 2019
Externally publishedYes

Keywords

  • dual-VENC
  • Phase-contrast MRI
  • unwrapping

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