Ning, Lipeng, Bonet-Carne, Elisenda, Grussu, Francesco, Sepehrband, Farshid, Kaden, Enrico, Veraart, Jelle, Blumberg, Stefano B., Khoo, Can Son, Palombo, Marco  ORCID: https://orcid.org/0000-0003-4892-7967, Coll-Font, Jaume, Scherrer, Benoit, Warfield, Simon K., Karayumak, Suheyla Cetin, Rathi, Yogesh, Koppers, Simon, Weninger, Leon, Ebert, Julia, Merhof, Dorit, Moyer, Daniel, Pietsch, Maximilian, Christiaens, Daan, Teixeira, Rui, Tournier, Jacques-Donald, Zhylka, Andrey, Pluim, Josien, Parker, Greg, Rudrapatna, Umesh, Evans, John, Charron, Cyril, Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049 and Tax, Chantal W. M. ORCID: https://orcid.org/0000-0002-7480-8817
2019.
Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): Progress and results.
Presented at: MICCAI 2018,
Granada, Spain,
16-20 September 2018.
Published in: Bonet-Carne, E, Grussu, F, Ning, L, Sepehrband, F and Tax, C eds.
Computational Diffusion MRI.
Mathematics and Visualization
, vol.1
Cham:
Springer,
pp. 217-224.
10.1007/978-3-030-05831-9_18
|
Abstract
We present a summary of competition results in the multi-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC). MUSHAC is an open competition intended to stimulate the development of computational methods that reduce scanner- and protocol-related variabilities in multi-shell diffusion MRI data across multi-site studies. Twelve different methods from seven research groups have been tested in this challenge. The results show that cross-vendor harmonization and enhancement can be performed by using suitable computational algorithms such as deep convolutional neural networks. Moreover, parametric models for multi-shell diffusion MRI signals also provide reliable performances.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Psychology |
| Publisher: | Springer |
| ISBN: | 978-3-030-05831-9 |
| ISSN: | 2197-666X |
| Last Modified: | 06 Jul 2023 01:47 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/123692 |
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