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1 July 2008 Fluorescence tomography technique optimized for noninvasive imaging of the mouse brain
Riad Bourayou, Heide Boeth, Heval Benav, Thomas Betz, Ute Lindauer, Till Nierhaus, Jan Klohs, Andreas Wunder, Ulrich Dirnagl, Jens M. Steinbrink
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Journal of Biomedical Optics, Vol. 13, Issue 4, 041311 (July 2008). https://doi.org/10.1117/1.2968262
Abstract
In vivo molecular fluorescence tomography of brain disease mouse models has two very specific demands on the optical setup: the use of pigmented furry mice does not allow for a purely noncontact setup, and a high spatial accuracy is required on the dorsal side of the animal due to the location of the brain. We present an optimized setup and tomographic scheme that meet these criteria through a combined CW reflectance-transmittance fiber illumination approach and a charge-coupled device contactless detection scheme. To consider the anatomy of the mouse head and take short source detector separations into account, the forward problem was evaluated by a Monte Carlo simulation input with a magnetic resonance image of the animal. We present an evaluation of reconstruction performance of the setup under three different condition. (i) Using a simulated dataset, with well-defined optical properties and low noise, the reconstructed position accuracy is below 0.5 mm. (ii) Using experimental data on a cylindrical tissue-simulating phantom with well-defined optical properties, a spatial accuracy of about 1 mm was found. (iii) Finally, on an animal model with a fluorescent inclusion in the brain, the target position was reconstructed with an accuracy of 1.6 mm.
©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Riad Bourayou, Heide Boeth, Heval Benav, Thomas Betz, Ute Lindauer, Till Nierhaus, Jan Klohs, Andreas Wunder, Ulrich Dirnagl, and Jens M. Steinbrink "Fluorescence tomography technique optimized for noninvasive imaging of the mouse brain," Journal of Biomedical Optics 13(4), 041311 (1 July 2008). https://doi.org/10.1117/1.2968262
Published: 1 July 2008
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Cited by 18 scholarly publications.
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KEYWORDS
Sensors
Brain
Monte Carlo methods
Tissues
Head
Optical properties
Fluorescence tomography
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