Abstract
One of the most important challenges for MRI is reducing scan time, and how to reconstruct high resolution image from limited acquired data is the most important challenge for MRI reconstruction technology. In this article, I demonstrate two fast imaging methods of MRI reconstruction -- parallel imaging and compressed sensing. Both are reconstruction methods which can reduce scan time and keep image quality without improving performance of hardware. Parallel imaging has already applied for various clinical uses and compressed sensing is also expected to contribute to reducing scan time and enhancing image resolution.
