Keywords: Spectroscopy, Relaxometry
In MRSI studies, T1 values of metabolites are desirable for correcting relaxation and B1 inhomogeneity effects, and for evaluating microenvironmental changes in pathological conditions. Current metabolite T1 mapping has been limited to single-voxel or single-slice experiments due to SNR and imaging time constraints. In this work, we demonstrated the feasibility of 3D high-resolution T1 mapping of brain metabolites using a novel data acquisition and processing method featuring physics-based low-rank tensor modelling and FID acquisitions. The proposed method has been validated using phantom and in vivo data, producing encouraging results.
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