POCS‐enhanced correction of motion artifacts in parallel MRI |
| |
| Authors: | Alexey A Samsonov Julia Velikina Youngkyoo Jung Eugene G Kholmovski Chris R Johnson Walter F Block |
| |
| Institution: | 1. Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA;2. Department of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA;3. Department of Radiology, University of California, San Diego, California, USA;4. UCAIR, Department of Radiology, University of Utah, Salt Lake City, Utah, USA;5. Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA;6. Department of Biomedical Engineering, University of Wisconsin, Madison, Wisconsin, USA |
| |
| Abstract: | A new method for correction of MRI motion artifacts induced by corrupted k‐space data, acquired by multiple receiver coils such as phased arrays, is presented. In our approach, a projections onto convex sets (POCS)‐based method for reconstruction of sensitivity encoded MRI data (POCSENSE) is employed to identify corrupted k‐space samples. After the erroneous data are discarded from the dataset, the artifact‐free images are restored from the remaining data using coil sensitivity profiles. The error detection and data restoration are based on informational redundancy of phased‐array data and may be applied to full and reduced datasets. An important advantage of the new POCS‐based method is that, in addition to multicoil data redundancy, it can use a priori known properties about the imaged object for improved MR image artifact correction. The use of such information was shown to improve significantly k‐space error detection and image artifact correction. The method was validated on data corrupted by simulated and real motion such as head motion and pulsatile flow. Magn Reson Med 63:1104–1110, 2010. © 2010 Wiley‐Liss, Inc. |
| |
| Keywords: | POCS POCSENSE motion artifact constrained reconstruction parallel MRI |
|
|
