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Abstract #3531

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

Farida Grinberg1,2, Ezequiel Farrher1, Kerstin Konrad3,4, Irene Neuner1,5, and N. Jon Shah1,2,6

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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