Primal-dual and forward gradient implementation for quantitative susceptibility mapping
Abstract
To investigate the computational aspects of the prior term in quantitative susceptibility mapping (QSM) by (i) comparing the Gauss-Newton conjugate gradient (GNCG) algorithm that uses numerical conditioning (ie, modifies the prior term) with a primal-dual (PD) formulation that avoids this, and (ii) carrying out a comparison between a central and forward difference scheme for the discretization of the prior term.A spatially continuous formulation...
Paper Details
Title
Primal-dual and forward gradient implementation for quantitative susceptibility mapping
Published Date
Mar 1, 2017
Volume
78
Issue
6
Pages
2416 - 2427
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