Abstract #4953

Complex Quasi-Newton Proximal Methods for the Image Reconstruction in Compressed Sensing MRI

Tao Hong¹, Jeffrey A. Fessler², and Luis Hernandez-Garcia ¹

¹Department of Radiology, University of Michigan, Ann Arbor, MI, United States, ²Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Image Reconstruction, Data Processing, Fast reconstruction algorithmThis work studies a complex quasi-Newton proximal method (CQNPM) for MRI reconstruction using wavelets or total variation (TV) based regularization. Our experiments show that our method is faster than the accelerated proximal method [1,2] in terms of iteration and CPU time.

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