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Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and results
Ning, Lipeng Bonet-Carne, Elisenda Grussu, Francesco Sepehrband, Farshid Kaden, Enrico Veraart, Jelle Blumberg, Stefano B. Khoo, Can Son Palombo, Marco Coll-Font, Jaume
Ning, Lipeng
Bonet-Carne, Elisenda
Grussu, Francesco
Sepehrband, Farshid
Kaden, Enrico
Veraart, Jelle
Blumberg, Stefano B.
Khoo, Can Son
Palombo, Marco
Coll-Font, Jaume
Author
Ning, Lipeng
Bonet-Carne, Elisenda
Grussu, Francesco
Sepehrband, Farshid
Kaden, Enrico
Veraart, Jelle
Blumberg, Stefano B.
Khoo, Can Son
Palombo, Marco
Coll-Font, Jaume
Scherrer, Benoit
Warfield, Simon K.
Karamuyak, 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 D.
Rudrapatna, Umesh
Evans, John
Charron, Cyril
Jones, Derek Kenton
Tax, Chantal W. M.
Bonet-Carne, Elisenda
Grussu, Francesco
Sepehrband, Farshid
Kaden, Enrico
Veraart, Jelle
Blumberg, Stefano B.
Khoo, Can Son
Palombo, Marco
Coll-Font, Jaume
Scherrer, Benoit
Warfield, Simon K.
Karamuyak, 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 D.
Rudrapatna, Umesh
Evans, John
Charron, Cyril
Jones, Derek Kenton
Tax, Chantal W. M.
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.
Keywords
Diffusion MRI, Harmonisation, Spherical harmonics, Deep learning, Parametric model
Date
2019
Type
Conference item
Journal
International Conference on Medical Image Computing and Computer-Assisted Intervention. MICCAI 2019
Book
Volume
Issue
Page Range
217-224
Article Number
ACU Department
Collections
Relation URI
Source URL
Event URL
Open Access Status
License
File Access
Controlled