Theme: Brain Atlas

Brain Atlas

Construction of population atlases is a key issue in medical image analysis, and particularly in brain mapping. Large sets of images are mapped into a common coordinate system to study intra-population variability and inter-population differences, to provide voxel-wise mapping of functional sites, and help tissue and object segmentation via registration of anatomical labels. A Driving application has been primarily child neuroimaging autism, and recent research focuses on large sets of brain images.

Publications:

• S.Gerber, T. Tasdizen, P.T. Fletcher, S. Joshi, R.T. Whitaker, the Alzheimers Disease Neuroimaging Initiative (ADNI). “Manifold modeling for brain population analysis,” In Medical Image Analysis, Special Issue on the 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2009, Vol. 14, No. 5, Note: Awarded MICCAI 2010, Best of the Journal Issue Award, pp. 643--653. 2010.
• P.T. Fletcher PT, S. Venkatasubramanian, S. Joshi. “The geometric median on Riemannian manifolds with application to robust atlas estimation,” In Neuroimage, Vol. 45, No. 1, pp. S143--S152. March, 2009. PubMed ID: 19056498

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Research Projects

• Alzheimer's Disease Neuroimaging Initiative
• Brain Population Analysis with Manifold Models
• Non-parametric Brain Atlas Building

PIs

• Sarang Joshi
• Guido Gerig
• Tom Fletcher
• Ross Whitaker