Accelerated Cardiovascular Magnetic Resonance Imaging Using Radial Acquisition with Compressed Sensing

Magnetic resonance imaging (MRI) is a medical imaging technique that can visualize internal organs for examination and diagnosis. It is non-invasive and ionizing radiation-free, and provides good contrast between different soft tissues. One of the drawbacks of MRI is its lengthy acquisition time. Significant research has been done in order to accelerate the MRI data acquisition and reduce the scan time. Compressed sensing (CS) has been recently proposed for accelerating MRI acquisition time. Compressed sensing recovers the desired image from undersampled MRI dataset by exploiting the sparsity of MR image in transform domain. In this thesis, we propose CS reconstruction methods in various cardiovascular MRI applications for accelerated imaging.