CUED Publications database

Sparse recovery of complex phase-encoded velocity images using iterative thresholding

Roberts, T and Kingsbury, N and Holland, DJ (2013) Sparse recovery of complex phase-encoded velocity images using iterative thresholding. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. pp. 350-354.

Full text not available from this repository.


In this paper we propose a new algorithm for reconstructing phase-encoded velocity images of catalytic reactors from undersampled NMR acquisitions. Previous work on this application has employed total variation and nonlinear conjugate gradients which, although promising, yields unsatisfactory, unphysical visual results. Our approach leverages prior knowledge about the piecewise-smoothness of the phase map and physical constraints imposed by the system under study. We show how iteratively regularizing the real and imaginary parts of the acquired complex image separately in a shift-invariant wavelet domain works to produce a piecewise-smooth velocity map, in general. Using appropriately defined metrics we demonstrate higher fidelity to the ground truth and physical system constraints than previous methods for this specific application. © 2013 IEEE.

Item Type: Article
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:16
Last Modified: 07 Feb 2019 03:52
DOI: 10.1109/ICIP.2013.6738072