Bundles of interest based registration of White Matter tractographies

We present an efficient and robust method for direct registration between fiber bundles of interest and the complete White Matter (WM) tractography of the same or another brain. The method does not require any previous registration between the brains, such as DTI registration, and it can be used for both intra and inter-subject registration. The algorithm is inspired by the well known iterative closest point method. Here, 3D points are replaced by feature vectors representing WM fibers, and the neighborhood is determined by the efficient approximation framework of the locality sensitive hashing. Initial results demonstrate the successful application of the proposed registration method to the automatic extraction of anatomical WM structures in un- segmented brain tractographies.