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Reconstructing a 3D structure from serial histological sections
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DOI：10.1016/S0262-8856(00)00052-4.png)
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摘要
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We consider the problem of aligning histological sections for 3D reconstruction and analysis. The method we propose is based on a block-matching strategy that allows us to compute local displacements between the sections. We then collect these local measures to estimate a rigid transformation. Our emphasis is on the necessity to use a robust approach for this estimation step. The process is integrated within a multi-scale scheme to improve both accuracy and computation time. We prove experimentally that we can reach sub-pixel accuracy and we show some results of aligning histological sections from a rat's brain and a rhesus monkey's brain. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
histological sections
3D reconstruction
registration
robust estimation
block matching
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