My research work focuses to the development of new biomedical imaging techniques using advances in signal processing and mathematics with the general goal of gleaning the most information with the least amount of data.
One area of special interest is compressed sensing for faster and better MRI. Compressed sensing exploits the natural compressibility of biomedical images to reduce the amount of data usually required to reconstruct an image. Acquiring less data goes beyond speeding up MRI scans and opens the door to increase information content by imaging with finer resolution and larger volumes, and resolving new dimensions such as respiratory and cardiac motion. The compressed sensing MRI techniques developed by my colleagues and I, such as k-t SPARSE-SENSE, GRASP and L+S, have made seminal contributions and have been successfully applied to several clinical problems of interest.
My research group is actively working on new paradigms for MRI that will break the old protocol of several independent acquisitions and reconstructions for a single free-breathing continuous comprehensive acquisition and multi-contrast high-dimensional reconstructions that exploits the inherent correlations among different MR contrasts and physiological motion.
Based on my experience on compressed sensing MRI, I am applying the same ideas to reduce radiation dose in CT. SparseCT, our compressed sensing CT technique, uses a new collimator to block x-rays before they reach to the patient and a new reconstruction algorithm that exploits image compressibility to form an image from fewer x-rays. SparseCT represents a promising paradigm shift for radiation dose reduction, where the number of x-rays is decreased instead of the common approach that reduces the dose in each of the x-rays.
Another important aspect of my research work is rapid translation to clinical practice, where I am collaborating with radiologists and clinicians to establish clinical targets that can guide technical development.
Associate Professor, Department of Radiology
PhD from University of New Mexico
Magnetic resonance in medicine. 2017 May 11; ?-?
IEEE transactions on medical imaging. 2017 Jan; 36(1):1-16
Journal of magnetic resonance imaging. 2016 Dec 16; 45(4):966-987
Journal of magnetic resonance imaging. 2016 Nov 17; 45(6):1746-1752
Radiology. 2016 Aug; 280(2):585-594
Magnetic resonance in medicine. 2016 Jul 25; 78(1):79-87
British journal of radiology. 2016 Jul; 89(1063):20150655-20150655
Magnetic resonance in medicine. 2016 Mar 28; 77(4):1473-1484