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Motion correction in low SNR MRI using an approximate rician log-likelihood

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posted on 2023-06-10, 04:19 authored by Ivor SimpsonIvor Simpson, Balazs Orzsik, Neil Harrison, Iris AsllaniIris Asllani, Mara Cercignani
Certain MRI acquisitions, such as Sodium imaging, produce data with very low signal-to-noise ratio (SNR). One approach to improve SNR is to acquire several images, each of which takes may take more than a minute, and then average these measurements. A consequence of such a lengthy acquisition procedure is subject motion between each image. This work investigates a solution for retrospective motion correction in this scenario, where the high level of Rician noise renders standard registration tools less effective. We employ a simple generative model for the data based on tissue segmentation maps, and provide a differentiable approximation of the Rician log-likelihood to fit the model to the observations. We find that this approach substantially outperforms a Gaussian log-likelihood baseline on synthetic data that has been corrupted by Rician noise of varying degrees. We also provide results of our approach on real Sodium MRI data, and demonstrate that we can reduce the effects of substantial motion compared to a general purpose registration tool.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

In: Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M., Rueckert, D. (eds) Biomedical Image Registration

ISSN

0302-9743

Publisher

Springer Cham

Volume

13386

Page range

147-155

Pages

222.0

Event name

International Workshop on Biomedical Image Registration

Event type

conference

Book title

Biomedical Image Registration

ISBN

9783031112027

Series

Lecture Notes in Computer Science

Department affiliated with

  • Informatics Publications

Notes

10th International Workshop, WBIR 2022, Munich, Germany, July 10–12, 2022, Proceedings

Full text available

  • No

Peer reviewed?

  • Yes

Editors

Julia Schnabel, Mattias Heinrich, Alessa Hering, Enzo Ferrante, Miaomiao Zhang, Daniel Rueckert

Legacy Posted Date

2022-07-26

First Compliant Deposit (FCD) Date

2022-07-26

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