Angshul Majumdar (University of British Columbia), “A Sparsity Based Approach Towards Fast MRI Acquisition” (2012)

Angshul Majumdar (University of British Columbia), “A Sparsity Based Approach Towards Fast MRI Acquisition”, Advisor: Prof. Rabab K. Ward, 2012

Magnetic Resonance Imaging (MRI) is a safe medical imaging modality that can acquire high quality scans. However, MRI has a relatively long acquisition time. Reducing the MRI data acquisition time had been a challenge to researchers for the last two decades. In this thesis, the author proposed Compressed Sensing based techniques to speed-up MRI scans.

The main contributions of this thesis are the following:
1. Novel algorithms for static MRI reconstruction using sparsity and rank-deficiency of images.
2. New formulations for jointly recovering multi-echo images.
3. Robust techniques for multi-coil parallel MRI reconstructions which do not require any explicit or implicit information about sensitivity profiles of the coils.
4. Near real-time reconstruction algorithms for dynamic MRI reconstruction; thus paving ways for image-guided surgery and monitoring applications.

For more details, please read the full thesis or contact the author.