Abstract #1724

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

Alberto De Luca^1,2, Suheyla Cetin Karayumak³, Alexander Leemans², Yogesh Rathi³, Stephan Swinnen^4,5, Jolien Gooijers^4,5, Amanda Clauwaert^4,5, Roald Bahr⁶, Stian Bahr Sandmo⁶, Nir Sochen^7,8, David Kaufmann⁹, Marc Muehlmann¹⁰, Geert-Jan Biessels¹, Inga K Koerte^3,11, 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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