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Abstract #3351

Method for Accurate Brain Atrophy Follow-Up Using Functional Relaxometric Classification

J.B.M. Warntjes1,2, J. West1,3, P. Lundberg3

1Center for Medical Imaging Science and Visualization, Linkping, Sweden; 2, Department of Medicine and Health, Division of Clinical Physiology, Linkping, Sweden; 3Department of Medicine and Health, Division of Radiation Physics, Linkping, Sweden

Accurate estimations for white matter, grey matter and cerebro-spinal fluid volumes can be retrieved from Quantitative Magnetic Resonance Imaging data by creating a multi-parametric space for Functional Relaxometric Classification (FRC-space). Since each tissue has a unique combination of MR parameters it will form a cluster in the FRC-space, characterized by its position and its statistical distribution. If an image-voxel contains two tissue types, it has coordinates in between the cluster positions of the separate tissues. Hence an estimation of tissue probability can be retrieved geometrically from FRC-space. Brain volumes of elderly were compared to a group of young volunteers.