Body QSM relies on accurate magnetic field-mapping that particularly accounts for the presence of fat. Due to the need to account for T2* effects and perform water–fat separation, water–fat-imaging-based field-mapping typically acquires multiple echoes with appropriate echo time step, increasing the total required scan time especially for high-resolution body QSM. To reduce scan time, several acceleration schemes have been proposed, such as parallel imaging and compressed sensing (CS). This work demonstrates the feasibility of high CS acceleration factors to distinguish strong para- and diamagnetic susceptibility sources in body regions with CS acceleration factors of 10 and higher.
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