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Abstract #0471

Cross-vendor and Cross-protocol harmonisation of diffusion MRI data: a comparative study

Chantal MW Tax1, Francesco Grussu2,3, Enrico Kaden3, Lipeng Ning4, Umesh Rudrapatna1, John Evans1, Samuel St-Jean5, Alexander Leemans5, Santi Puch6, Matt Rowe6, Paulo Rodrigues6, Vesna Prčkovska6, Simon Koppers7,8, Dorit Merhof8, Aurobrata Ghosh3, Ryutaro Tanno3,9, Daniel C Alexander3, Cyril Charron1, Slawomir Kusmia1, David EJ Linden1, Derek K Jones1, and Jelle Veraart10

1CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, 3Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 4Harvard Medical School, Boston, MA, United States, 5Image Sciences Institute, Department of Radiology, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands, 6Mint Labs Inc, Barcelona, Spain, 7Department of Radiology, University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, PA, United States, 8Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany, 9Machine Intelligence and Perception group, Microsoft Research Cambridge, Cambridge, United Kingdom, 10New York University, New York, NY, United States

We present a comparison of five different methods that estimate mappings between scanners for diffusion MRI data harmonisation. The methods are evaluated on a dedicated dataset of the same subjects acquired on three distinct scanners with ‘standard’ and ‘state-of-the-art’ protocols, with the latter having higher spatial and angular resolution. Our results show that cross-vendor harmonisation and spatial/angular resolution enhancement of single-shell diffusion data sets can be performed reliably, although some challenges remain. The dataset is available upon request and can serve as a useful testbed for future method development in cross-site/cross-hardware and cross-vendor diffusion MRI harmonisation.

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