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 W. M. Tax

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

6 Citations (Scopus)
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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.
Original languageEnglish
Title of host publicationComputational Diffusion MRI
Subtitle of host publicationInternational MICCAI Workshop, Granada, Spain, September 2018
EditorsLipeng Ning, Chantal M.W. Tax, Francesco Grussu, Elisenda Bonet-Carne, Farshid Sepehrband
Place of PublicationCham
PublisherSpringer
Chapter18
Pages217-224
Number of pages8
Edition226249
ISBN (Electronic)978-3-030-05831-9
ISBN (Print)978-3-030-05830-2
DOIs
Publication statusPublished - 2019
Event9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: 16 Sep 201816 Sep 2018

Publication series

NameMathematics and Visualization
ISSN (Electronic)1612-3786

Conference

Conference9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018
CountrySpain
CityGranada
Period16/09/1816/09/18

Keywords

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

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