Uma, KChandrasekharan, KPaul, JS2017-03-102017-03-102013,;-https://dspace.sctimst.ac.in/handle/123456789/10183Scan time reduction in MRI can be achieved by partial k-space reconstruction. Truncation of the k-space results in generation of artifacts in the reconstructed image. A subspace projection algorithm is developed for artifact-free reconstruction of sparse MRI. The algorithm is applied to a frequency weighted k-space, which fits into a signal-space model for sparse MR images. The application is illustrated using Magnetic Resonance Angiogram (MRA).Computer Science; Engineering; Imaging Science & Photographic Technology