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Atlas-based indexing of brain sections via 2-D to 3-D image registration
Journal article   Peer reviewed

Atlas-based indexing of brain sections via 2-D to 3-D image registration

Smadar Gefen, Nahum Kiryati and Jonathan Nissanov
IEEE transactions on biomedical engineering, v 55(1), pp 147-156
01 Jan 2008
DOI: https://doi.org/10.1109/TBME.2007.899361
PMID: 18232356

Abstract

Engineering, Biomedical Science & Technology Engineering Technology
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 atlas-guided segmentation of mouse brains' hippocampal, complex, retrieved from the Mouse Brain Library (MBL) database, is demonstrated with the proposed algorithm.

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Engineering, Biomedical
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