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Abstract #1724

Harmonization of diffusion kurtosis imaging metrics with rotational invariant spherical harmonics (RISH) to remove cross-site biasesĀ 

Alberto De Luca1,2, Suheyla Cetin Karayumak3, Alexander Leemans2, Yogesh Rathi3, Stephan Swinnen4,5, Jolien Gooijers4,5, Amanda Clauwaert4,5, Roald Bahr6, Stian Bahr Sandmo6, Nir Sochen7,8, David Kaufmann9, Marc Muehlmann10, Geert-Jan Biessels1, Inga K Koerte3,11, and Ofer Pasternak3
1Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands, 2PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 3Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 4Movement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium, 5Brain Institute, KU Leuven, Leuven, Belgium, 6Oslo Sports Trauma Research Center, Norwegian School of Sport Sciences, Oslo, Norway, 7Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel, 8Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 9Department of Radiology, Charite University Hospital, Berlin, Germany, 10Department of Radiology, LMU Munich, Munich, Germany, 11cBRAIN, Department of Child and Adolescent Psychiatry, LMU Munich, Munich, Germany

Diffusion Kurtosis Imaging (DKI) metrics computed from diffusion MRI (dMRI) are affected by different acquisition protocols and scanner properties which limits their implementation in multicentric studies. We investigated whether harmonizing multi-shell dMRI with the rotation invariant spherical harmonics (RISH) method allows to remove cross-site differences in DKI metrics while retaining longitudinal effects. 46 subjects underwent a longitudinal two-shell dMRI protocol in 3 imaging sites. Our results show that the RISH method removes inter-site differences both at whole-brain and voxel-level while maintaining the effect-size of longitudinal changes, and is thus promising for the implementation of multi-site DKI studies.

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