High Resolution IVIM Parameter Maps in the Presence of Rician Noise
Alexander M. Cerjanic 1,2 , Joseph L. Holtrop 1,2 , and Bradley P. Sutton 1,2
Bioengineering, University of Illinois at
Urbana-Champaign, Urbana, Illinois, United States,
Institute of Advanced Science and Technology, University
of Illinois at Urbana-Champaign, Urbana, Illinois,
The Intravoxel Incoherent Motion (IVIM) model allows for
the quantification of flow in the microvasculature
through the use of diffusion weighted imaging. While
IVIM has clinical potential, estimating parameter maps
from magnitude images is extremely SNR demanding due to
Rician noise. Using a maximum penalized likelihood
estimator (MPLE), reliable parameter maps can be
obtained at high resolution in reasonable times.
Parameter maps obtained from a volunteer processed with
both the MPLE method and conventional least squares
estimates are shown. Comparisons between IVIM parameters
in gray matter and white matter demonstrate the promise
of MPLE as compared to least-squares estimation.
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