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Abstract #2090

Denoised diffusion spectrum imaging of white matter tracts in the brainstem

Cristina Granziera1,2,3,4, Samuel St-Jean5, Alessandro Daducci3, Gunnar Krueger6, and Maxime Descoteaux7

1Radiology, A.A. Martinos Center for Biomedical Imaging, Massachussetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 22. Neuroimmunology Unit, Neurology, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3Signal Processing Laboratory 5 (LTS5), Ecole Polytechnique F├ęderale Lausanne (EPFL), Lausanne, Switzerland, 4Advanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare AG, Lausanne, Switzerland, 56. Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 6Siemens Medical Solutions USA, Inc., Boston, MA, United States, 7Sherbrooke Connectivity Imaging Laboratory (SCIL), University of Sheerbrooke, Sherbrooke, Canada

High-angular resolution diffusion (HARDI) MRI, like diffusion spectrum imaging-DSI, provides an attractive tool to investigate the complex white matter structure in the brainstem. However, due to the application of high b-values in the HARDI acquisition, the raw images are SNR limited (SNR<10). In this study, we applied a novel denoising alogorithm to low-SNR DSI data. Our results showed that Generalized Anisotropy maps and tractography seeding the periacqueductal grey matter, a small structure in the mesencephalon, match more accurately the underlying anatomy when applying the denoising algorithm.

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