Correction of fat-water swaps in dixon MRI
Glocker B, Konukoglu E, Lavdas I, Iglesias JE, Aboagye EO, Rockall AG, Rueckert D (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: Springer Verlag
Book Volume: 9902 LNCS
Pages Range: 536-543
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN: 9783319467252
DOI: 10.1007/978-3-319-46726-9_62
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,fatonly,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.
Involved external institutions
Eidgenössische Technische Hochschule Zürich (ETHZ) / Swiss Federal Institute of Technology in Zurich
Switzerland (CH)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
University College London (UCL)
United Kingdom (GB)
Switzerland (CH)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
University College London (UCL)
United Kingdom (GB)
How to cite
APA:
Glocker, B., Konukoglu, E., Lavdas, I., Iglesias, J.E., Aboagye, E.O., Rockall, A.G., & Rueckert, D. (2016). Correction of fat-water swaps in dixon MRI. In Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Sebastian Ourselin (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 536-543). Springer Verlag.
MLA:
Glocker, Ben, et al. "Correction of fat-water swaps in dixon MRI." Proceedings of the Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Ed. Leo Joskowicz, Mert R. Sabuncu, William Wells, Gozde Unal, Sebastian Ourselin, Springer Verlag, 2016. 536-543.
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