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Abstract #2825

Novel Robust Segmentation of the Thalamic Nuclei Validation on Healthy Subjects and Patients

Elena Najdenovska 1,2 , Giovanni Battistella 3,4 , Constantin Tuleasca 1,5 , Philippe Maeder 4 , Alessandro Daducci 2,5 , Jean-Philippe Thiran 4,5 , Marc Levivier 1 , Eleonora Fornari 2,4 , and Meritxell Bach Cuadra 2,4

1 Department of Clinical Neuroscience, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 2 Centre d'Imagerie BioMdicale (CIBM), Lausanne, Switzerland, 3 Department of Neurology, Mount Sinai School of Medicine, New York, United States, 4 Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 5 Signal Processing Laboratory (LTS5), Ecole Polytechnique Fdrale de Lausanne (EPFL), Switzerland

We propose a novel method for segmenting the thalamus in 7 anatomical group based on local diffusion properties at high angular resolution as given by the Spherical Harmonics representation of the Orientation Distribution Functions. The validation was done for a large dataset including 33 healthy subjects and 2 patients treated for essential tremor with Gamma Knife Surgery. We found a robust clustering pattern for all tested healthy subjects and patients before surgery. Additionally, the surgery target in the patient data, used as gold standard for validation, has proven the emplacement accuracy of the motor-related thalamic group delineated with our method.

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