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2008
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Fully automatic 3D reconstruction of histological images

11 years 12 months ago
Fully automatic 3D reconstruction of histological images
In this paper, we propose a computational framework for 3D volume reconstruction from 2D histological slices using registration algorithms in feature space. To improve the quality of reconstructed 3D volume, first, intensity variations in images are corrected by an intensity standardization process which maps image intensity scale to a standard scale where similar intensities correspond to similar tissues. Second, a subvolume approach is proposed for 3D reconstruction by dividing standardized slices into groups. Third, in order to improve the quality of the reconstruction process, an automatic best reference slice selection algorithm is developed based on an iterative assessment of image entropy and mean square error of the registration process. Finally, we demonstrate that the choice of the reference slice has a significant impact on registration quality and subsequent 3D reconstruction.
Ulas Bagci, Li Bai
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ISBI
Authors Ulas Bagci, Li Bai
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