Samenvatting
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.
Originele taal-2 | Engels |
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Titel | Computational Diffusion MRI |
Subtitel | International MICCAI Workshop, Granada, Spain, September 2018 |
Redacteuren | Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax |
Plaats van productie | Cham |
Uitgeverij | Springer |
Hoofdstuk | 18 |
Pagina's | 217-224 |
Aantal pagina's | 8 |
ISBN van elektronische versie | 978-3-030-05831-9 |
ISBN van geprinte versie | 978-3-030-05830-2 |
DOI's | |
Status | Gepubliceerd - 2019 |
Evenement | 9th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2018) : Atrial Segmentation and LV Quantification Challenges - Granada, Spanje Duur: 16 sep. 2018 → 16 sep. 2018 Congresnummer: 9 |
Publicatie series
Naam | Mathematics and Visualization |
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ISSN van geprinte versie | 1612-3786 |
ISSN van elektronische versie | 2197-666X |
Congres
Congres | 9th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2018) |
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Verkorte titel | STACOM 2018 |
Land/Regio | Spanje |
Stad | Granada |
Periode | 16/09/18 → 16/09/18 |