Abstract #3531

Reduction of Partial Volume Effects Using Diffusion-Kurtosis-Informed Template Improves the Atlas-Based Between-Group Comparison in Diffusion Kurtosis Imaging

Farida Grinberg^1,2, Ezequiel Farrher¹, Kerstin Konrad^3,4, Irene Neuner^1,5, and N. Jon Shah^1,2,6

¹Institute of Neuroscience and Medicine 4, Research Centre Jülich, Jülich, Germany, ²Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany, ³Child Neuropsychology Section, Department of Child and Adolescent Psychiatry and Psychotherapy, RWTH Aachen University, Aachen, Germany, ⁴Institute of Neuroscience and Medicine 3, Research Centre Jülich, Jülich, Germany, ⁵Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany, ⁶JARA - BRAIN - Translational Medicine, RWTH Aachen University, Germany

Frequently used methods in between-group comparisons of diffusion tensor and diffusion kurtosis imaging metrics, such as region-of-interest analysis or atlas-based analysis, are subject to errors due to partial volume effects. In this work we demonstrate that the application of a simple diffusion-kurtosis-informed template significantly reduces partial volume effects and, in turn, improves the between-group atlas-based analysis. In particular, a better differentiation of diffusion metrics was achieved in the study of a group of children versus a group of adults.

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