This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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653
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #308988 |
Title:
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Synthetic Magnetic Resonance Imaging Revisited
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Author(s):
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John Riddles*+ and Ranjan Maitra
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Companies:
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Iowa State University and Iowa State University
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Address:
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Snedecor Hall, Ames, IA, 50011-1210,
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Keywords:
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Bloch transform ;
L-BFGS-B ;
EM Algorithm ;
penalized log likelihood ;
Multi-layered Gaussian Markov Random Field ;
spin-echo sequence
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Abstract:
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Synthetic magnetic resonance (MR) imaging is an approach used to predict MR images at different design parameter settings from at least three observed MR scans. However, performance is poor when no regularization is used in the estimation and computationally impractical to implement for three-dimensional imaging otherwise. We propose a method which accounts for spatial context in MR images by the imposition of a Gaussian Markov Random Field (MRF) structure on a transformation of the spin-lattice relaxation time, the spin-spin relaxation time, and the proton density at each voxel. We also model the observed magnitude images using the more accurate but computationally challenging Rice distribution. A One-Step-Late Expectation-Maximization approach is adopted to keep computations practical. We evaluate predictive performance in generating synthetic MR images in a clinical setting.
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