Print Email Facebook Twitter Comparison of image reconstruction techniques for optical projection tomography Title Comparison of image reconstruction techniques for optical projection tomography Author Trull, A.K. (TU Delft ImPhys/Quantitative Imaging) van der Horst, J. (TU Delft ImPhys/Quantitative Imaging) van Vliet, L.J. (TU Delft ImPhys/Computational Imaging) Kalkman, J. (TU Delft ImPhys/Quantitative Imaging) Date 2018 Abstract We present a comparison of image reconstruction techniques for optical projection tomography. We compare conventional filtered back projection, sinogram filtering using the frequency–distance relationship (FDR), image deconvolution, and 2D point-spread-function-based iterative reconstruction. The latter three methods aim to remove the spatial blurring in the reconstructed image originating from the limited depth of field caused by the point spread function of the imaging system. The methods are compared based on simulated data, experimental optical projection tomography data of single fluorescent beads, and high-resolution optical projection tomography imaging of an entire zebrafish larva. We demonstrate that the FDR method performs poorly on data acquired with high numerical aperture optical imaging systems. We show that the deconvolution technique performs best on highly sparse data with low signal-to-noise ratio. The point-spread-function-based reconstruction method is superior for nonsparse objects and data of high signal-to-noise ratio. To reference this document use: http://resolver.tudelft.nl/uuid:cdb72320-f409-4ef8-b8d9-c9d6017372e2 DOI https://doi.org/10.1364/AO.57.001874 Embargo date 2018-09-07 ISSN 1559-128X Source Applied Optics, 57 (8), 1874-1882 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 A.K. Trull, J. van der Horst, L.J. van Vliet, J. Kalkman Files PDF ao_57_8_1874.pdf 2.19 MB Close viewer /islandora/object/uuid:cdb72320-f409-4ef8-b8d9-c9d6017372e2/datastream/OBJ/view