Peer-Reviewed Publication
Neuroimage2021;240118367.October 15, 2021Journal Article
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
Alberto De Luca1, Andrada Ianus2, Alexander Leemans3, Marco Palombo4, Noam Shemesh2, Hui Zhang4, Daniel C Alexander4, Markus Nilsson5, Martijn Froeling6, Geert-Jan Biessels7, Mauro Zucchelli8, Matteo Frigo8, Enes Albay9, Sara Sedlar8, Abib Alimi8, Samuel Deslauriers-Gauthier8, Rachid Deriche8, Rutger Fick10, Maryam Afzali11, Tomasz Pieciak12, Fabian Bogusz13, Santiago Aja-Fernández14, Evren Özarslan15, Derek K Jones11, Haoze Chen16, Mingwu Jin17, Zhijie Zhang16, Fengxiang Wang16, Vishwesh Nath18, Prasanna Parvathaneni19, Jan Morez20, Jan Sijbers20, Ben Jeurissen20, Shreyas Fadnavis21, Stefan Endres22, Ariel Rokem23, Eleftherios Garyfallidis21, Irina Sanchez24, Vesna Prchkovska24, Paulo Rodrigues24, Bennet A Landman25, Kurt G Schilling26
1PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: a.deluca-2@umcutrecht.nl.
2Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.
3PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
4Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
5Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden.
6Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
7Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands.
8Inria Sophia Antipolis - Méditerranée, Université Côte d'Azur, Sophia Antipolis, France.
9Inria Sophia Antipolis - Méditerranée, Université Côte d'Azur, Sophia Antipolis, France; Istanbul Technical University, Istanbul, Turkey.
10TRIBVN Healthcare, Paris, France.
11Cardiff University Brain Research, Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.
12AGH University of Science and Technology, Kraków, Poland; LPI, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain.
13AGH University of Science and Technology, Kraków, Poland.
14LPI, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain.
15Department of Biomedical Engineering, Linköping University, Linköping, Sweden; Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
16School of Instruments and Electronics, North University of China, Taiyuan, China.
17Department of Physics, University of Texas at Arlington, Arlington, USA.
18NVIDIA Corporation, Bethesda, USA.
19National Institute of Health, Bethesda, USA.
20Imec-Vision lab, Department of Physics, University of Antwerp, Antwerp, Belgium.
21Intelligent Systems Engineering, Indiana University Bloomington, Indiana, USA.
22Leibniz Institute for Materials Engineering - IWT, Faculty of Production Engineering, University of Bremen, Bremen, Germany.
23Department of Psychology and the eScience Institute, University of Washington, Seattle, WA USA.
24QMENTA Inc, Boston, USA.
25Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, USA.
26Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, USA; Department of Radiology and Radiological Science, Vanderbilt University Medical Center, Nashville, USA.
Abstract
Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on the specific acquisition settings, the dMRI signal encodes specific properties of the underlying diffusion process. In the last two decades, several signal representations have been proposed to fit the dMRI signal and decode such properties. Most methods, however, are tested…
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