Compressive parallel MRI for accelerated imaging
2017-03-01T00:29:36Z (GMT) by
Magnetic Resonance Imaging (MRI) is one of the widely used imaging modalities in clinical practice due to its high quality diagnostic images. The good contrast between soft tissues provided by MRI makes it useful for a diverse range of clinical applications. It is used in a wide variety of clinical applications ranging from structural brain scans to detect tumors, functional neuro-imaging to analyse brain function, cardiovascular imaging to diagnose abnormalities in the heart and diffusion tensor imaging to map brain's neutral network to name a few. However these applications of MRI come at a cost of its slow imaging speed. The objective of this thesis is to improve upon the speed limitation of MR imaging and achieve higher acceleration and produce better quality images. This research has resulted in two novel acceleration techniques, one for static imaging and another for dynamic imaging. The first technique called "multichannel compressive sensing MRI using noiselet encoding" that achieves an 8 times speed up and produce good quality images for static images. The second technique is called "k-space aliasing" that achieves acceleration up to 6 for cardiac imaging. Thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy of the Indian Institute of Technology Bombay, India and Monash University, Australia.