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Abstract #1538

Human cerebral cortex parcellation using time-fractional order magnetic resonance fingerprinting (MRF)

Shahrzad Moinian1,2, David Reutens1,2, and Viktor Vegh1,2
1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia

We have previously shown the potential efficacy of a magnetic resonance fingerprinting (MRF) residual approach for human cerebral cortex parcellation. However, the classical Bloch equations, commonly used for MR signal simulation in the MRF dictionary, may not accurately describe the complex effect of the ensemble of microarchitectonic components of the gray matter tissue on MRF signal. This work benefitted from the more flexibility of the extended time-fractional order Bloch equations to improve MRF dictionary fitting accuracy. We demonstrated that the time-fractional order parameter α potentially associates with the effect of interareal architectonic variability, hypothetically leading to more accurate cortical parcellation.

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