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Abstract #3166

Analysis of Tractography Biases Introduced by Anisotropic Voxels

Peter F. Neher1, Bram Stieltjes2, Ivo Wolf3, Hans-Peter Meinzer1, Klaus Hermann Fritzsche1, 2

1Medical and Biological Informatics, German Cancer Research Center (DKFZ), Heidelberg, Germany; 2Quantitative Image-based Disease Characterization, German Cancer Research Center (DKFZ), Heidelberg, Germany; 3Medical Informatics, Mannheim University, Mannheim, Germany

In research settings it is common practice to acquire diffusion weighted images with an isotropic resolution. In contrast, clinical datasets are often acquired with a relatively high in-plane resolution of about 1-2 mm but much thicker slices (2-5 mm). The impact of such anisotropic image resolutions on the outcome of fiber tractography has not been systematically analyzed yet. This work uses software phantom data to quantify the impact of anisotropic voxels on nine different publicly available and commonly used algorithms.