NDLI: Registration of Brain Atlas to MR Images Using Topology Preserving Front Propagation

Content Provider	Springer Nature Link
Author	Liu, Jimin Huang, Su winski, Wieslaw L.
Copyright Year	2008
Abstract	Registration of brain atlases to MR images is important in both anatomic and functional studies of human brains. Existing intensity-based methods are confronted with the translation of image-similarity functions to desired anatomic correspondences; while feature-based methods are challenged with the automated extraction of required features. In this paper, we propose a non-rigid registration method, in which, a block matching method is first used to calculate boundary displacement of all structures in a brain atlas, and a topology preserving front propagation method is then used to deform the atlas by warping the structures according to their boundary displacements. The novelty of our method is that the registration procedure is automated and anatomically driven while there is no need to extract particular structures. Experiments on the registration of the Talairach–Tournoux brain atlas to phantom brain MR images and real data show that our method is robust to noise and intensity inhomogeneity, more accurate than the commonly used Talairach stereotaxic spatial normalization, and thus promising to open new applications for brain atlases.
Starting Page	209
Ending Page	216
Page Count	8
File Format	PDF
ISSN	19398018
Journal	Journal of Signal Processing Systems
Volume Number	55
Issue Number	1-3
e-ISSN	19398115
Language	English
Publisher	Springer US
Publisher Date	2008-05-06
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Medical imaging Image registration Block-matching Front propagation Talairach–Tournoux brain atlas Computer Imaging, Vision, Pattern Recognition and Graphics Pattern Recognition Image Processing and Computer Vision Electrical Engineering Circuits and Systems Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Signal Processing Control and Systems Engineering Information Systems Modeling and Simulation Hardware and Architecture

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