A realistic in-silico brain phantom for quantifying susceptibility anisotropy-induced error in susceptibility separation
Daniel Ridani, Benjamin De Leener, Eva Alonso‐Ortiz
The paper creates an in-silico brain phantom to evaluate how susceptibility anisotropy affects susceptibility separation algorithms, finding increased error in negative susceptibility estimates with anisotropy.