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Abstract #0891

Bloch Modelling Enables Robust T2 Mapping using Retrospective Proton Density and T2-weighted Images from Different Vendors and Sites

Gitanjali Chhetri1, Kelly C McPhee1, and Alan H Wilman1
1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada

Differences in pulse sequences between vendors can result in variation in T2 mapping, if not accounted for. We show that Bloch simulation based Indirect and Stimulated Echo Compensation minimizes these differences in T2 maps across different scanners. In contrast, standard exponential fitting results in highly variable T2 values across MR systems even if echo and repetition times are identical. By overcoming errors in T2 quantification through sequence modelling, T2 mapping can be applied in studies across multiple sites and vendors.

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