Journal of Pathology Informatics Journal of Pathology Informatics
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SYMPOSIUM - ORIGINAL RESEARCH
Year : 2011  |  Volume : 2  |  Issue : 2  |  Page : 7

Atlas-guided correction of brain histology distortion


1 Rotman Research Institute, University of Toronto, Canada; Department of Imaging and Interventional Radiology, Chinese University of Hong Kong, China; and School of Computer Science, University of Nottingham, UK
2 Department of Imaging and Interventional Radiology, Chinese University of Hong Kong, China
3 School of Computer Science, University of Nottingham, UK

Correspondence Address:
Xi Qiu
Rotman Research Institute, University of Toronto, Canada; Department of Imaging and Interventional Radiology, Chinese University of Hong Kong, China; and School of Computer Science, University of Nottingham, UK

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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/2153-3539.92038

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Histological tissue preparation stages (e.g., cutting, sectioning, etc.) often introduce tissue distortions that prevent a smooth 3D reconstruction from being built. In this paper, we propose a method to correct histology distortions by running a piecewise registration scheme. It takes the information of several consecutive slices in a neighborhood into account. In order to achieve an accurate anatomic presentation, we run the method iteratively with the assistance from a pre-segmented brain atlas. The registration parameters are optimized to accommodate different brain sub-regions, e.g., cerebellum, hippocampus, etc. The results are evaluated by both visual and quantitative approaches. The proposed method has been proved to be robust enough for reconstructing an accurate and smooth mouse brain volume.


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