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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