dc.date.accessioned | 2021-08-23T22:57:37Z | |
dc.date.accessioned | 2022-10-19T00:28:25Z | |
dc.date.available | 2021-08-23T22:57:37Z | |
dc.date.available | 2022-10-19T00:28:25Z | |
dc.date.created | 2021-08-23T22:57:37Z | |
dc.date.issued | 2019 | |
dc.identifier | http://hdl.handle.net/10533/252091 | |
dc.identifier | 1151512 | |
dc.identifier | WOS:000466914700016 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/4483354 | |
dc.description.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-and dual-VENCproblems, 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. | |
dc.language | eng | |
dc.relation | https://doi.org/10.1109/TMI.2018.2882553 | |
dc.relation | handle/10533/111557 | |
dc.relation | 10.1109/TMI.2018.2882553 | |
dc.relation | handle/10533/111541 | |
dc.relation | handle/10533/108045 | |
dc.rights | info:eu-repo/semantics/article | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
dc.title | Optimal Dual-VENC Unwrapping in Phase-Contrast MRI | |
dc.type | Articulo | |