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IPMI
2009
Springer

Smooth 3-D Reconstruction for 2-D Histological Images

12 years 1 months ago
Smooth 3-D Reconstruction for 2-D Histological Images
We present an image driven approach to the reconstruction of 3-D volumes from stacks of 2-D post-mortem sections (histology, cryoimaging, autoradiography or immunohistochemistry) in the absence of any external information. We note that a desirable quality of the reconstructed volume is the smoothness of its notable structures (e.g. the gray/white matter surfaces in brain images). Here we propose to use smoothness as a means to drive the reconstruction process itself. From an initial rigid pair-wise reconstruction of the input 2-D sections, we extract the boundaries of structures of interest. Those are then evolved under a mean curvature flow modified to constrain the flow within 2-D planes. Sparse displacement fields are then computed, independently for each slice, from the resulting flow. A variety of transformations, from globally rigid to arbitrarily flexible ones, can then be estimated from those fields and applied to the individual input 2-D sections to form a smooth volume...
Amalia Cifor, Tony P. Pridmore, Alain Pitiot
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where IPMI
Authors Amalia Cifor, Tony P. Pridmore, Alain Pitiot
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