| Title | Statistical aspects of parallel imaging reconstruction. |
| Publication Type | Journal Article |
| Year of Publication | 2006 |
| Authors | Raj A, Kressler B, Singh G, Zabih R, Wang Y |
| Journal | Conf Proc IEEE Eng Med Biol Soc |
| Volume | 2006 |
| Pagination | 377-80 |
| Date Published | 2006 |
| ISSN | 1557-170X |
| Keywords | Algorithms, Computer Simulation, Data Interpretation, Statistical, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Models, Biological, Models, Statistical, Reproducibility of Results, Sample Size, Sensitivity and Specificity, Signal Processing, Computer-Assisted |
| Abstract | A statistical interpretation of existing parallel magnetic resonance imaging methods reveals that the underlying noise model is of additive independent Gaussian noise. In reality MR imaging processes suffer from a variety of noise, errors and other uncertainties. A careful statistical analysis of these uncertainties can potentially allow significant improvement of the reconstruction process. In this paper we present such an analysis and describe a few very recent approaches to handle these statistical models. We show examples of simulation and in vivo reconstructed data which demonstrate the potential of the statistical approach. |
| DOI | 10.1109/IEMBS.2006.259763 |
| Alternate Journal | Conf Proc IEEE Eng Med Biol Soc |
| PubMed ID | 17946826 |
Related Institute:
MRI Research Institute (MRIRI)