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Proceedings Paper

Large volume reconstruction from laser scanning microscopy using micro-CT as a template for deformation compensation
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Paper Abstract

In biomedical research, there is an increased need for reconstruction of large soft tissue volumes (e.g. whole organs) at the microscopic scale from images obtained using laser scanning microscopy (LSM) with fluorescent dyes targeting selected cellular features. However, LSM allows reconstruction of volumes not exceeding a few hundred ìm in size and most LSM procedures require physical sectioning of soft tissue resulting in tissue deformation. Micro-CT (&mgr;CT) can provide deformation free tomographic image of the whole tissue volume before sectioning. Even though, the spatial resolution of &mgr;CT is around 5 &mgr;m and its contrast resolution is poor, it could provide information on external and internal interfaces of the investigated volume and therefore could be used as a template in the volume reconstruction from a very large number of LSM images. Here we present a method for accurate 3D reconstruction of the murine heart from large number of images obtained using confocal LSM. The volume is reconstructed in the following steps: (i) Montage synthesis of individual LSM images to form a set of aligned optical planes within given physical section; (ii) Image enhancement and segmentation to correct for non-uniform illumination and noise; (iii) Volume matching of a synthesized physical section to a corresponding sub-volume of &mgr;CT; (iv) Affine registration of the physical section to the selected &mgr;CT sub-volume. We observe correct gross alignment of the physical sections. However, many sections still exhibit local misalignment that could be only corrected via local nonrigid registration to &mgr;CT template and we plan to do it in the future.

Paper Details

Date Published: 26 March 2007
PDF: 12 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651221 (26 March 2007); doi: 10.1117/12.709855
Show Author Affiliations
A. Subramanian, Syracuse Univ. (United States)
A. Krol, Syracuse Univ. (United States)
SUNY Upstate Medical Univ. (United States)
A. H. Poddar, Syracuse Univ. (United States)
R. L. Price, School of Medicine, Univ. of South Carolina (United States)
R. Swarnkar, Columbia Univ. (United States)
D. H. Feiglin, SUNY Upstate Medical Univ. (United States)


Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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