Abstract #2689
Fast Multicoil Total Variation Reconstruction of Cardiac Perfusion Images
Srikant Kamesh Iyer 1,2 , Tolga Tasdizen 2 , Ganesh Adluru 3 , and Edward DiBella 3
1
Electrical and Computer Engineering,
University of Utah, Salt Lake City, Utah, United States,
2
Scientific
Computational Institute, University of Utah, Salt Lake
City, Utah, United States,
3
UCAIR/Radiology,
University of Utah, Salt Lake City, Utah, United States
Acquiring dynamic contrast enhanced cardiac perfusion
images with high spatio-temporal resolution in necessary
to accurately diagnose diseases. Temporal resolution can
be improved by acquiring less data in k-space, but this
causes loss of image quality. Compresed sensing based
methods can leverage sparsity constraints to achieve
good quality reconstruction, but the use of traditional
gradient descent based minimization schemes yield slow
rate of convergence. We develop a multicoil
reconstruction method based on Split Bregman and fast
iterative shrinkage-thresholding algorithms (FISTA) that
outperforms traditional gradient descent based
minimization methods.
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