Mehmet Akcakaya
Assistant Professor

 

Area of Expertise: Image reconstruction, biomedical imaging, magnetic resonance imaging, inverse problems

 

Education
Ph.D., 2010, Harvard University
S.M., 2010, Harvard University
B. Eng. (Hons), 2005, McGill University

 

Contact information
Office: 5-159 Keller Hall
Telephone: (612) 625-1343
E-mail: akcakaya@umn.edu

Honors/Awards
Junior Fellow, International Society of Magnetic Resonance in Medicine, 2013
NIH K99/R00 award, 2012

Synopsis
My primary research interests are in improving magnetic resonance imaging (MRI) using signal processing and inverse problems techniques. In MRI, my focus is on accelerated imaging, image reconstruction and sampling problems, with an interest in novel pulse sequences. In signal processing, I am focused on theoretical analysis and algorithms for inference problems that exploit low-dimensional structure of the data.

Selected Publications
M. Akçakaya, H. Rayatzadeh, T. A. Basha, S. N. Hong, R. H. Chan, K. V. Kissinger, T. H. Hauser, M, E. Josephson, W. J. Manning and R. Nezafat, “Accelerated Late Gadolinium Enhancement Cardiac MRI with Isotropic Spatial Resolution Using Compressed Sensing: Initial Experience,” Radiology, 264(3):691-699, Sept. 2012.

M. Akçakaya, T. A. Basha, B. Goddu, L. A. Goepfert, K. V. Kissinger, V. Tarokh, W. J. Manning and R. Nezafat, "Low-dimensional-Structure Self-Learning and Thresholding (LOST): Regularization Beyond Compressed Sensing for MRI Reconstruction," Magnetic Resonance in Medicine, 66(3), pp. 756–767, Sept. 2011.

M. Akçakaya and V. Tarokh, "Shannon Theoretic Limits on Noisy Compressive Sampling," IEEE Trans. on Information Theory, 56(1), pp. 492-504, Jan. 2010.

M. Akçakaya and V. Tarokh, "A Frame Construction and A Universal Distortion Bound for Sparse Representations," IEEE Trans. on Signal Processing, 56(6), pp. 2443-2450, June 2008.