Motion-Robust T2* Quantification from Gradient Echo MRI with Physics-Informed Deep Learning

T2∗$$ {\mathrm{T}}_2^{\ast } $$ quantification from gradient echo magnetic resonance imaging is particularly affected by subject motion due to its high sensitivity to magnetic field inhomogeneities, which are influenced by motion and might cause signal loss. Thus, motion correction is crucial to obtain high‐quality T2∗$$ {\mathrm{T}}_2^{\ast } $$ maps.