Improved Correspondence for DTI Population Studies Via Unbiased Atlas Building

Abstract. We present a method for automatically finding correspondence in Diffusion Tensor Imaging (DTI) from deformable registration to a common atlas. The registration jointly produces an unbiased average DTI atlas along with diffeomorphic correspondence between each image. The registration image match metric uses a feature detector for thin fiber structures of white matter, and interpolation and averaging of diffusion tensors use the Riemannian symmetric space framework. The anatomically significant correspondence provides a basis for comparison of tensor features and fiber tract geometry in clinical studies and for building DTI population atlases.

• Type: Conference
• Year: 2006
• Where: MICCAI
• Authors: Casey Goodlett, Brad Davis, Remi Jean, John H. Gilmore, Guido Gerig
• Keywords: Diffusion Tensor, DTI Population Atlases, Medical Imaging, MICCAI 2006, Unbiased Average Dti