Please use this identifier to cite or link to this item: https://doi.org/10.1364/OE.15.018300
Title: Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm
Authors: Song, X.
Wang, D.
Chen, N. 
Bai, J.
Wang, H.
Issue Date: 24-Dec-2007
Citation: Song, X., Wang, D., Chen, N., Bai, J., Wang, H. (2007-12-24). Reconstruction for free-space fluorescence tomography using a novel hybrid adaptive finite element algorithm. Optics Express 15 (26) : 18300-18317. ScholarBank@NUS Repository. https://doi.org/10.1364/OE.15.018300
Abstract: With the development of in-vivo free-space fluorescence molecular imaging and multi-modality imaging for small animals, there is a need for new reconstruction methods for real animal-shape models with a large dataset. In this paper we are reporting a novel hybrid adaptive finite element algorithm for fluorescence tomography reconstruction, based on a linear scheme. Two different inversion strategies (Conjugate Gradient and Landweber iterations) are separately applied to the first mesh level and the succeeding levels. The new algorithm was validated by numerical simulations of a 3-D mouse atlas, based on the latest free-space setup of fluorescence tomography with 360° geometry projections. The reconstructed results suggest that we are able to achieve high computational efficiency and spatial resolution for models with irregular shape and inhomogeneous optical properties. © 2007 Optical Society of America.
Source Title: Optics Express
URI: http://scholarbank.nus.edu.sg/handle/10635/67252
ISSN: 10944087
DOI: 10.1364/OE.15.018300
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