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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