A new discrete dipole kernel for quantitative susceptibility mapping

Most approaches for quantitative susceptibility mapping (QSM) are based on a forward model approximation that employs a continuous Fourier transform operator to solve a differential equation system. Such formulation, however, is prone to high-frequency aliasing. The aim of this study was to reduce such errors using an alternative dipole kernel formulation based on the discrete Fourier transform and discrete operators.

Source: Magnetic Resonance Imaging - April 16, 2018 Category: Radiology Authors: Carlos Milovic, Julio Acosta-Cabronero, Jos é Miguel Pinto, Hendrik Mattern, Marcelo Andia, Sergio Uribe, Cristian Tejos Tags: Technical note Source Type: research