Open Access
5 January 2017 Fluorescence laminar optical tomography for brain imaging: system implementation and performance evaluation
Mehdi Azimipour, Mahya Sheikhzadeh, Ryan Baumgartner, Patrick K. Cullen, Fred J. Helmstetter, Woo-Jin Chang, Ramin Pashaie
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Abstract
We present our effort in implementing a fluorescence laminar optical tomography scanner which is specifically designed for noninvasive three-dimensional imaging of fluorescence proteins in the brains of small rodents. A laser beam, after passing through a cylindrical lens, scans the brain tissue from the surface while the emission signal is captured by the epi-fluorescence optics and is recorded using an electron multiplication CCD sensor. Image reconstruction algorithms are developed based on Monte Carlo simulation to model light–tissue interaction and generate the sensitivity matrices. To solve the inverse problem, we used the iterative simultaneous algebraic reconstruction technique. The performance of the developed system was evaluated by imaging microfabricated silicon microchannels embedded inside a substrate with optical properties close to the brain as a tissue phantom and ultimately by scanning brain tissue in vivo. Details of the hardware design and reconstruction algorithms are discussed and several experimental results are presented. The developed system can specifically facilitate neuroscience experiments where fluorescence imaging and molecular genetic methods are used to study the dynamics of the brain circuitries.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2017/$25.00 © 2017 SPIE
Mehdi Azimipour, Mahya Sheikhzadeh, Ryan Baumgartner, Patrick K. Cullen, Fred J. Helmstetter, Woo-Jin Chang, and Ramin Pashaie "Fluorescence laminar optical tomography for brain imaging: system implementation and performance evaluation," Journal of Biomedical Optics 22(1), 016003 (5 January 2017). https://doi.org/10.1117/1.JBO.22.1.016003
Received: 29 June 2016; Accepted: 12 December 2016; Published: 5 January 2017
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Cited by 5 scholarly publications.
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KEYWORDS
Brain

Luminescence

Imaging systems

Neuroimaging

Reconstruction algorithms

Optical tomography

Tissue optics

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