Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results

Ning L, Bonet-Carne E, Grussu F, Sepehrband F, Kaden E, Veraart J, Blumberg SB, Khoo CS, Palombo M, Coll-Font J, Scherrer B, Warfield SK, Karayumak SC, Rathi Y, Koppers S, Weninger L, Ebert J, Merhof D, Moyer D, Pietsch M, Christiaens D, Teixeira R, Tournier JD, Zhylka A, Pluim J, Parker G, Rudrapatna U, Evans J, Charron C, Jones DK, Tax CWM (2019)

Publication Type: Conference contribution

Publication year: 2019

Publisher: Springer Heidelberg

Pages Range: 217-224

Conference Proceedings Title: Mathematics and Visualization

Event location: Granada, ESP

ISBN: 9783030058302

DOI: 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.

Involved external institutions

Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE) University College London (UCL) GB United Kingdom (GB) University of Southern California (USC) US United States (USA) (US) New York University (NYU) US United States (USA) (US) King’s College London GB United Kingdom (GB) Cardiff University GB United Kingdom (GB) Brigham and Women's Hospital (BWH) US United States (USA) (US) Harvard University US United States (USA) (US) Eindhoven University of Technology / Technische Universiteit Eindhoven (TU/e) NL Netherlands (NL)

How to cite

APA:

Ning, L., Bonet-Carne, E., Grussu, F., Sepehrband, F., Kaden, E., Veraart, J.,... Tax, C.W.M. (2019). Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results. In Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax (Eds.), Mathematics and Visualization (pp. 217-224). Granada, ESP: Springer Heidelberg.

MLA:

Ning, Lipeng, et al. "Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results." Proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, ESP Ed. Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M.W. Tax, Springer Heidelberg, 2019. 217-224.

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