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Spatially-Variant Lucy-Richardson Deconvolution for Multiview Fusion of Microscopical 3D Images

IEEE International Symposium on Biomedical Imaging (ISBI): 899 -- 904 , 2011
Download the publication : TemerinacISBI2011.pdf [1.9Mo]  

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Abstract: A framework for fast multiview fusion of Single Plane Illumination Microscopy (SPIM) images based on a spatially-variant point spread function (PSF) model is presented. For the multiview fusion a new algorithm based on the regularized Lucy-Richardson deconvolution and the Overlap-Save method is developed and tested on SPIM images. In the algorithm the image is decomposed into small blocks which are processed separately thus saving memory space and allowing for parallel processing.

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BibTex references

@InProceedings{BRT11,
  author       = "M. Temerinac-Ott and O. Ronneberger and R. Nitschke and W. Driever and H. Burkhardt",
  title        = "Spatially-Variant Lucy-Richardson Deconvolution for Multiview Fusion of Microscopical 3D Images",
  booktitle    = "IEEE International Symposium on Biomedical Imaging (ISBI)",
  pages        = "899 -- 904 ",
  year         = "2011",
  organization = "IEEE",
  keywords     = "Lucy-Richardson deconvolution, SPIM, spatially-variant PSF, total variation ",
  url          = "http://lmb.informatik.uni-freiburg.de//Publications/2011/BRT11"
}

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