Realistic in silico abdominal QSM phantom

Compared to Quantitative Susceptibility Mapping (QSM) in the brain, abdominal QSM faces additional issues due to the presence of gas and fatty tissue. Recent works in abdominal QSM are more focused on its feasibility as a biomarker for disease diagnosis than improving or assessing the robustness and quality of the reconstructions. In this work, we present an abdominal QSM phantom with realistic tissue textures. Our flexible simulation pipeline allows emulating different stages of diseases and MRI signal contributions. Our reconstruction experiments show the potential of our phantom to compare QSM algorithms in different scenarios.