Glocker, B;
Konukoglu, E;
Lavdas, I;
Iglesias, JE;
Aboagye, EO;
Rockall, AG;
Rueckert, D;
(2016)
Correction of Fat-Water Swaps in Dixon MRI.
In: Ourselin, S and Joskowicz, L and Sabuncu, MR and Unal, G and Wells, W, (eds.)
MICCAI 2016: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016.
(pp. pp. 536-543).
Springer International Publishing: Cham, Switzerland.
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Abstract
The Dixon method is a popular and widely used technique for fat-water separation in magnetic resonance imaging, and today, nearly all scanner manufacturers are offering a Dixon-type pulse sequence that produces scans with four types of images: in-phase, out-of-phase, fat-only, and water-only. A natural ambiguity due to phase wrapping and local minima in the optimization problem cause a frequent artifact of fat-water inversion where fat- and water-only voxel values are swapped. This artifact affects up to 10 % of routinely acquired Dixon images, and thus, has severe impact on subsequent analysis. We propose a simple yet very effective method, Dixon-Fix, for correcting fat-water swaps. Our method is based on regressing fat- and water-only images from in- and out-of-phase images by learning the conditional distribution of image appearance. The predicted images define the unary potentials in a globally optimal maximum-a-posteriori estimation of the swap labeling with spatial consistency. We demonstrate the effectiveness of our approach on whole-body MRI with various types of fat-water swaps.
| Type: | Proceedings paper |
|---|---|
| Title: | Correction of Fat-Water Swaps in Dixon MRI |
| Event: | International Conference on Medical Image Computing and Computer-Assisted Intervention |
| Location: | Athens, Greece |
| Dates: | 17 October 2016 - 21 October 2016 |
| ISBN-13: | 9783319467269 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-46726-9_62 |
| Publisher version: | http://dx.doi.org/10.1007/978-3-319-46726-9_62 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1561198 |
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