@article{cb6bbc4f1c58470fbdf115aa9159bb8e,
title = "Optimal Dual-VENC Unwrapping in Phase-Contrast MRI",
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.",
keywords = "dual-VENC, Phase-contrast MRI, unwrapping",
author = "Hugo Carrillo and Axel Osses and Sergio Uribe and Cristobal Bertoglio",
note = "Funding Information: The work H. Carrillo was supported by CONICYT-Doctorado Nacional under Grant 21151645. The work of A. Osses was supported in part by the Conicyt Basal Program PFB-03, in part by Fondecyt 1151512, in part by Fondap CR2-1511009, and in part by the Millennium Science Initiative of the Ministry of Economy, Development and Tourism, Grant Nucleus for Cardiovascular Magnetic Resonance. The work of S. Uribe was supported in part by the Millennium Science Initiative of the Ministry of Economy, Development and Tourism, Grant Nucleus for Cardiovascular Magnetic Resonance and in part by Fondecyt 1181057. Funding Information: Manuscript received October 11, 2018; accepted November 12, 2018. Date of publication November 21, 2018; date of current version May 1, 2019. The work H. Carrillo was supported by CONICYT-Doctorado Nacional under Grant 21151645. The work of A. Osses was supported in part by the Conicyt Basal Program PFB-03, in part by Fondecyt 1151512, in part by Fondap CR2-1511009, and in part by the Millennium Science Initiative of the Ministry of Economy, Development and Tourism, Grant Nucleus for Cardiovascular Magnetic Resonance. The work of S. Uribe was supported in part by the Millennium Science Initiative of the Ministry of Economy, Development and Tourism, Grant Nucleus for Cardiovascular Magnetic Resonance and in part by Fondecyt 1181057. The work of C. Bertoglio was supported by the Conicyt Basal Program PFB-03. (Corresponding author: Crist{\'o}bal Bertoglio.) H. Carrillo is with the Center for Mathematical Modeling, Universidad de Chile, Santiago 8370456, Chile. Publisher Copyright: {\textcopyright} 2018 IEEE.",
year = "2019",
month = may,
doi = "10.1109/TMI.2018.2882553",
language = "English",
volume = "38",
pages = "1263--1270",
journal = "IEEE Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
number = "5",
}