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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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