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Abstract #0771

Cross-scanner and cross-protocol harmonisation of multi-shell diffusion MRI data: open challenge and evaluation results

Lipeng Ning1,2, Elisenda Bonet-Carne3, Francesco Grussu3, Farshid Sepehrband4, Enrico Kaden3, Jelle Veraart5, Stefano B Blumberg3, Can Son Khoo3, Marco Palombo3, Jaume Coll-Font1,6, Benoit Scherrer1,6, Simon K Warfield1,6, Suheyla Cetin Karayumak1,2, Yogesh Rathi1,2, Simon Koppers7, Leon Weninger7, Julia Ebert7, Dorit Merhof7, Daniel Moyer4, Maximilian Pietsch8, Daan Christiaens8, Rui Teixeira8, Jacques-Donald Tournier8, Andrey Zhylka9, Josien Pluim9, Greg Parker10, Umesh Rudrapatna10, John Evans10, Cyril Charron10, Derek K Jones10, and Chantal W.M. Tax10

1Harvard Medical School, Boston, MA, United States, 2Brigham and Women's Hospital, Boston, MA, United States, 3University College London, London, United Kingdom, 4University of Southern California, Los Angeles, CA, United States, 5New York University, New York, NY, United States, 6Boston Children's Hospital, Boston, MA, United States, 7RWTH Aachen University, Aachen, Germany, 8King's College London, London, United Kingdom, 9Eindhoven University of Technology, Eindhoven, Netherlands, 10Cardiff University, Cardiff, United Kingdom

We present a comparison of twelve different methods that estimate mappings between scanners for multi-shell diffusion MRI data harmonisation. The methods are evaluated on a benchmark dataset acquired from 15 subjects using two scanners that both have a standard and a state-of-the-art protocol. The results show that cross-vendor harmonisation and spatial/angular resolution enhancement of multi-shell diffusion data sets can be performed reliably using suitable algorithms. The dataset is available upon request and can serve as a useful testbed for the development diffusion MRI harmonisation algorithms.

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