Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields

In this paper, we present a novel algorithm for non-rigidly registering two high angular resolution diffusion weighted MRIs (HARDI), each represented by a Gaussian mixture field (GMF). We model the nonrigid warp by a thin-plate spline and formulate the registration problem as the minimization of the L2 distance between the two given GMFs. The key mathematical contributions of this work are, (i) a closed form expression for the derivatives of this objective function with respect to the parameters of the registration and (ii) a novel and simpler re-orientation scheme based on an extension to the "Preservation of Principle Directions" technique. We present results of our algorithm's performance on several synthetic and real HARDI data sets.

• Type: Conference
• Year: 2009
• Where: MICCAI
• Authors: Baba C. Vemuri, Guang Cheng 0002, Paul R. Carney, Thomas H. Mareci
• Keywords: Diffusion Weighted Mris, Gaussian Mixture Field, HARDI Data Sets, Medical Imaging, MICCAI 2009