Empirical Inference
Patient motion in the scanner is one of the most challenging problems in MRI. We propose a new retrospective motion correction method for which no tracking devices or specialized sequences are required. We seek the motion parameters such that the image gradients in the spatial domain become sparse. We then use these parameters to invert the motion and recover the sharp image. In our experiments we acquired 2D TSE images and 3D FLASH/MPRAGE volumes of the human head. Major quality improvements are possible in the 2D case and substantial improvements in the 3D case.
| Author(s): | Loktyushin, A. and Nickisch, H. and Pohmann, R. and Schölkopf, B. |
| Links: | |
| Year: | 2012 |
| Month: | May |
| Day: | 0 |
| Bibtex Type: | Poster (poster) |
| Digital: | 0 |
| Electronic Archiving: | grant_archive |
| Event Name: | 20th Annual Scientific Meeting ISMRM 2012 |
| Event Place: | Melbourne, Australia |
BibTex
@poster{LoktyushinNPS2012,
title = {Blind Retrospective Motion Correction of MR Images},
abstract = {Patient motion in the scanner is one of the most challenging problems in MRI. We propose a new retrospective motion correction method for which no tracking devices or specialized sequences are required. We seek the motion parameters such that the image gradients in the spatial domain become sparse. We then use these parameters to invert the motion and recover the sharp image. In our experiments we acquired 2D TSE images and 3D FLASH/MPRAGE volumes of the human head. Major quality improvements are possible in the 2D case and substantial improvements in the 3D case.},
month = may,
year = {2012},
slug = {loktyushinnps2012},
author = {Loktyushin, A. and Nickisch, H. and Pohmann, R. and Sch{\"o}lkopf, B.},
month_numeric = {5}
}