@inproceedings{b7c63e352b1549b4bc757c2090824939,
title = "A Sobolev norm based distance measure for HARDI clustering : a feasibility study on phantom and real data",
abstract = "Dissimilarity measures for DTI clustering are abundant. However, for HARDI, the L2 norm has up to now been one of only few practically feasible measures. In this paper we propose a new measure, that not only compares the amplitude of diffusion profiles, but also rewards coincidence of the extrema. We tested this on phantom and real brain data. In both cases, our measure significantly outperformed the L2 norm.",
author = "E.J.L. Brunenberg and R. Duits and {Haar Romeny, ter}, B.M. and B. Platel",
year = "2010",
doi = "10.1007/978-3-642-15705-9_22",
language = "English",
isbn = "978-3-642-15704-2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "175--182",
editor = "T. Jiang and N. Navab and J.P.W. Pluim and M.A. Viergever",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010 (13th International Conference, Beijing, China, September 20-24, 2010. Proceedings, Part I)",
address = "Germany",
note = "13th International Conference on Medical Image Computing and Computer-Assisted Intervention (Miccai), September 20-24, 2010, Beijing, China ; Conference date: 20-09-2010 Through 24-09-2010",
}