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Abstract #4255

Lateral Ventricle Segmentation Based on Fusion of Expert Priors in AD.

Vladimir S. Fonov1, Sridar Narayanan1, Douglas L. Arnold1, D. Louis Collins1

1McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, QC, Canada

Measurement of lateral ventricular volume is often used for measuring the progression of neurodegenerative diseases. Existing techniques for ventricle segmentation have been extensively validated for the normal population, but may be suboptimal for the patients with Alzheimers Disease (AD), for example. We propose an automated method which uses information from expert manual segmentation combined with a population-specific atlas. Experiments were completed with a group of 271 elderly patients from an ongoing clinical trial, using manual segmentations as a gold standard. We found that proposed algorithm yields accurate results with a median kappa of 0.962.