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Abstract #0094

Validation of Tissue Characterization in Mixed Voxels Using MR Fingerprinting

Anagha Vishwas Deshmane 1 , Dan Ma 1 , Yun Jiang 1 , Elizabeth Fisher 2 , Nicole Seiberlich 1 , Vikas Gulani 1,3 , and Mark Griswold 1,3

1 Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2 Biomedical Engineering, Cleveland Clinic Lerner Research Institute, Cleveland, Ohio, United States, 3 Radiology, University Hospitals of Cleveland, Cleveland, OH, United States

In conventional weighted MRI, the presence of multiple species within a single voxel can alter signal intensity. However, it remains difficult to determine the species content which gives rise to this intensity change due to similarity in exponential-shaped signal evolutions. The uniqueness of signal evolutions generated through Magnetic Resonance Fingerprinting (MRF) allows for the identification of multiple species present within a single voxel. Here we demonstrate that MRF is able to resolve multiple material components from single, mixed voxels and validate the derived tissue fractions in a realistic simulation model.

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