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Atlas-based indexing of brain sections via 2-D to 3-D image registration
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2741
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| 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
http://hdl.handle.net/1860/2741 |
| Appears in Collections: | Faculty Research and Publications (Biomed Eng)
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