Muti-shell diffusion MRI harmonisation and enhancement challenge (MUSHAC): progress and results

Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Julia Ebert, Dorit Merhof, Daniel Moyer, Maximilian PietschDaan Christiaens, Rui Teixeira, Jacques-Donald Tournier, Andrey Zhylka, Josien Pluim, Greg Parker, Umesh Rudrapatna, John Evans, Cyril Charron, Derek K. Jones, Chantal M.W. Tax

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

10 Citations (Scopus)
238 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationComputational Diffusion MRI
Subtitle of host publicationInternational MICCAI Workshop, Granada, Spain, September 2018
EditorsElisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax
Place of PublicationCham
Number of pages8
ISBN (Electronic)978-3-030-05831-9
ISBN (Print)978-3-030-05830-2
Publication statusPublished - 2019
Event9th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2018) : Atrial Segmentation and LV Quantification Challenges - Granada, Spain
Duration: 16 Sept 201816 Sept 2018
Conference number: 9

Publication series

NameMathematics and Visualization
ISSN (Print)1612-3786
ISSN (Electronic)2197-666X


Conference9th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2018)
Abbreviated titleSTACOM 2018
Otherheld in conjunction with the 21st Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018


  • Deep learning
  • Diffusion MRI
  • Harmonisation
  • Parametric model
  • Spherical harmonics


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