Abstract #2504
Accelerating MR Parameter Mapping Using Manifold Recovery
Chao Shi 1 , Yihang Zhou 1 , Yanhua Wang 1 , Dong Liang 2 , Xiaojuan Li 3 , and Leslie Ying 1,4
1
Electrical Engineering, University at
Buffalo, SUNY, Buffalo, New York, United States,
2
Paul
C. Lauterbur Research Center for Biomedical Imaging,
Shenzhen Institute of Advanced Technology, Shenzhen,
Guangdong, China,
3
Department
of Radiology and Biomedical Imaging, University of
California at San Francisco, San Francisco, California,
United States,
4
Biomedical
Engineering, University at Buffalo, SUNY, Buffalo, New
York, United States
We propose a novel method to accelerate parameter
mapping in this abstract. We model MR parameter mapping
as a problem to recover a parametric manifold. An
iterative algorithm is proposed to recover the manifold
from undersampled data based on the parametric model.
The method iteratively alternates between reconstructing
the image series and recovering the parameters. Both
simulation and experimental results demonstrate the
potential of highly accelerated parameter mapping by the
proposed method.
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