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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/2741

Title: Atlas-based indexing of brain sections via 2-D to 3-D image registration
Authors: Gefen, Smadar
Kiryati, Nahum
Nissanov, Jonathan
Keywords: Normalized Mutual Information;PDE-Based Methods;2-D to 3-D Nonlinear Registration
Issue Date: Jan-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: IEEE Transactions on Biomedical Engineering, 55(1): pp. 147-156.
Abstract: A 2-D to 3-D nonlinear intensity-based registration method is proposed in which the alignment of histological brain sections with a volumetric brain atlas is performed. First, sparsely cut brain sections were linearly matched with an oblique slice automatically extracted from the atlas. Second, a planar-to-curved surface alignment was employed in order to match each section with its corresponding image overlaid on a curved-surface within the atlas. For the latter, a PDE-based registration technique was developed that is driven by a local normalized-mutual-information similarity measure. We demonstrate the method and evaluate its performance with simulated and real data experiments. An atlasguided segmentation of mouse brains’ hippocampal complex, retrieved from the Mouse Brain Library (MBL) database, is demonstrated with the proposed algorithm.
URI: http://dx.doi.org/10.1109/TBME.2007.899361
Appears in Collections:Faculty Research and Publications (Biomed Eng)

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