@inproceedings{c38dcccf46964264bacca41d8a96b983,
title = "Distortion correction via non-rigid registration of functional to anatomical magnetic resonance brain images",
abstract = "Functional to anatomical brain image registration is needed for accurate localization of brain activation maps. Due to the presence of nonlinear distortions, it is more effective to consider non-rigid transformations to achieve such a registration. In this paper, a non-rigid registration technique based on the B-spline free-form deformation model and mutual information similarity measure is introduced. An optimization formulation is devised to achieve a fast and robust registration. This formulation differs from the previous formulations by utilizing a limited-memory, second-order optimization algorithm instead of the usual first-order gradient-based algorithms. It also enforces hard parameter constraints instead of constraints based upon physics or Jacobian smoothness. The results obtained indicate that this registration technique provides improvements over rigid and affine techniques when registering functional to anatomical magnetic resonance brain images.",
keywords = "Brain, Distortion, Image registration, Magnetic resonance imaging",
author = "Ali Gholipour and Nasser Kehtarnavaz and Kaundinya Gopinath and Richard Briggs and Michael Devous and Robert Haley",
year = "2006",
doi = "10.1109/ICIP.2006.312768",
language = "English (US)",
isbn = "1424404819",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1181--1184",
booktitle = "2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings",
note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",
}