Validation of Tissue Characterization in Mixed Voxels Using MR Fingerprinting

Deshmane, AV; Ma, D; Jiang, Y; Fisher, E; Seiberlich, N; Gulani, V; Griswold, M

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Validation of Tissue Characterization in Mixed Voxels Using MR Fingerprinting

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http://ismrm.gitlab.io/2014/0094.html
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Zitation

Deshmane, A., Ma, D., Jiang, Y., Fisher, E., Seiberlich, N., Gulani, V., et al. (2014). Validation of Tissue Characterization in Mixed Voxels Using MR Fingerprinting. Poster presented at 22nd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2014), Milano, Italy.

Zitierlink: https://hdl.handle.net/21.11116/0000-0006-9AD5-C

Zusammenfassung

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.