Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography

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Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography. / Taylor, Shelley L; Mason, Suzannah K G; Glinton, Sophie L; Cobbold, Mark; Dehghani, Hamid.

In: Journal of Biomedical Optics, Vol. 20, No. 9, 96001, 01.09.2015.

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@article{b7f0b49391f5495285db048156bd0c33,
title = "Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography",
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.",
keywords = "bioluminescence imaging, bioluminescence Tomography , image reconstruction",
author = "Taylor, {Shelley L} and Mason, {Suzannah K G} and Glinton, {Sophie L} and Mark Cobbold and Hamid Dehghani",
year = "2015",
month = sep,
day = "1",
doi = "10.1117/1.JBO.20.9.096001",
language = "English",
volume = "20",
journal = "Journal of Biomedical Optics",
issn = "1083-3668",
publisher = "Society of Photo-Optical Instrumentation Engineers",
number = "9",

}

RIS

TY - JOUR

T1 - Accounting for filter bandwidth improves the quantitative accuracy of bioluminescence tomography

AU - Taylor, Shelley L

AU - Mason, Suzannah K G

AU - Glinton, Sophie L

AU - Cobbold, Mark

AU - Dehghani, Hamid

PY - 2015/9/1

Y1 - 2015/9/1

N2 - 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.

AB - 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.

KW - bioluminescence imaging

KW - bioluminescence Tomography

KW - image reconstruction

U2 - 10.1117/1.JBO.20.9.096001

DO - 10.1117/1.JBO.20.9.096001

M3 - Article

C2 - 26325264

VL - 20

JO - Journal of Biomedical Optics

JF - Journal of Biomedical Optics

SN - 1083-3668

IS - 9

M1 - 96001

ER -