Abstract #4336

Resolving ambiguity in T1 mapping using complex MRI data

Kees M. van Hespen¹, Dirk H.J. Poot^1,2, Harm A. Nieuwstadt¹, and Stefan Klein¹

¹Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, Netherlands, ²Imaging Science and Technology, Delft University of Technology, Delft, Netherlands

We have recently developed an optimized T₁ mapping protocol for carotid atherosclerotic plaque imaging, using a combination of inversion and recovery prepared acquisitions. This protocol requires less images to be taken (and thus shorter acquisition time) for precise T₁ estimation than conventional inversion-prepared or saturation-prepared acquisition schemes. However, estimating T₁ from magnitude data, acquired with the optimized settings, causes bimodality of T₁ estimates, due to the ambiguity in sign of the inversion prepared magnitude images. Simulations and experiments on a hardware phantom and a volunteer show that the ambiguity resolves when we fit a complex-valued model to the complex data.

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