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Journal of Biomedical Optics • Open Access

Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography
Author(s): Shelley L. Taylor; Suzannah K. G. Mason; Sophie L. Glinton; Mark Cobbold; Hamid Dehghani

Paper Abstract

Bioluminescence imaging is a noninvasive technique whereby surface weighted images of luminescent probes within animals are used to characterize cell count and function. Traditionally, data are collected over the entire emission spectrum of the source using no filters and are used to evaluate cell count/function over the entire spectrum. Alternatively, multispectral data over several wavelengths can be incorporated to perform tomographic reconstruction of source location and intensity. However, bandpass filters used for multispectral data acquisition have a specific bandwidth, which is ignored in the reconstruction. In this work, ignoring the bandwidth is shown to introduce a dependence of the recovered source intensity on the bandwidth of the filters. A method of accounting for the bandwidth of filters used during multispectral data acquisition is presented and its efficacy in increasing the quantitative accuracy of bioluminescence tomography is demonstrated through simulation and experiment. It is demonstrated that while using filters with a large bandwidth can dramatically decrease the data acquisition time, if not accounted for, errors of up to 200% in quantitative accuracy are introduced in two-dimensional planar imaging, even after normalization. For tomographic imaging, the use of this method to account for filter bandwidth dramatically improves the quantitative accuracy.

Paper Details

Date Published: 1 September 2015
PDF: 9 pages
J. Biomed. Opt. 20(9) 096001 doi: 10.1117/1.JBO.20.9.096001
Published in: Journal of Biomedical Optics Volume 20, Issue 9
Show Author Affiliations
Shelley L. Taylor, The Univ. of Birmingham (United Kingdom)
Suzannah K. G. Mason, The Univ. of Birmingham (United Kingdom)
Sophie L. Glinton, The Univ. of Birmingham (United Kingdom)
Mark Cobbold, The Univ. of Birmingham (United Kingdom)
Hamid Dehghani, The Univ. of Birmingham (United Kingdom)


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