Ph.D., 2010, Harvard University
S.M., 2010, Harvard University
B. Eng. (Hons), 2005, McGill University
Biomedical image processing, big data signal processing, magnetic resonance imaging
Akçakaya Research Group Site
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 focus on theoretical analysis and algorithms for inference problems that exploit low-dimensional structures in big data.
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2020 National Institute of Biomedical Imaging and Bioengineering (NIBIB) Trailblazer award
2020 National Heart, Lung, and Blood Institute (NHLBI) R01 award
2020 Guillermo E. Borja Award (Collegiate Award)
2018-2020 McKnight Land-Grant Professor
2017 National Science Foundation (NSF) CAREER Award
2013 Junior Fellow, International Society of Magnetic Resonance in Medicine
2012 National Institutes of Health (NIH) K99/R00 award
S. Weingärtner, F. Zimmer, G. J. Metzger, K. Uğurbil, P.-F. van de Moortele and M. Akçakaya, “Motion-Robust Cardiac B1+ Mapping at 3T using Interleaved Bloch-Siegert Shifts,” Magnetic Resonance in Medicine, 2016.
M. Akçakaya, S. Weingärtner, T. A. Basha, S. Roujol, S. Bellm and R. Nezafat, “Joint Myocardial T1 and T2 Mapping Using a Combination of Saturation Recovery and T2-preparation,” Magnetic Resonance in Medicine, 2016.
M. Akçakaya and V. Tarokh, “Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements,” IEEE Signal Processing Letters, 22(9), pp. 1220-1223, Sept. 2015.
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.