2012
DOI: 10.1155/2012/276367
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Volumetric Diffuse Optical Tomography for Small Animals Using a CCD-Camera-Based Imaging System

Abstract: We report the feasibility of three-dimensional (3D) volumetric diffuse optical tomography for small animal imaging by using a CCD-camera-based imaging system with a newly developed depth compensation algorithm (DCA). Our computer simulations and laboratory phantom studies have demonstrated that the combination of a CCD camera and DCA can significantly improve the accuracy in depth localization and lead to reconstruction of 3D volumetric images. This approach may present great interests for noninvasive 3D local… Show more

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Cited by 9 publications
(9 citation statements)
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References 27 publications
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“…HD-DOT was shown to approach the resolution and accuracy of BOLD-fMRI in the adult brain. 31 However, HD-DOT measures the change in concentration of oxy-and deoxy-hemoglobin during functional activation in small animals and humans 15,30,32 without retrieving CBF information. In HD-DOT, CBF information can be inferred by the use of specific challenges or contrast agents, thus making the measurements complex.…”
Section: Introductionmentioning
confidence: 99%
“…HD-DOT was shown to approach the resolution and accuracy of BOLD-fMRI in the adult brain. 31 However, HD-DOT measures the change in concentration of oxy-and deoxy-hemoglobin during functional activation in small animals and humans 15,30,32 without retrieving CBF information. In HD-DOT, CBF information can be inferred by the use of specific challenges or contrast agents, thus making the measurements complex.…”
Section: Introductionmentioning
confidence: 99%
“…Then the "Γ (ξ, s, μ)" data at the detection sites are calculated with the finite element method at different conditions. Finally, images are reconstructed and the quality of the reconstructed images is compared using the following parameters [17,43,44].…”
Section: Evaluation With Simulated Datamentioning
confidence: 99%
“…[ 8 ] In many studies, the uniformity of the sensitivity matrix was used to evaluate different geometries. [ 9 10 11 12 ] The sensitivity matrix is derived from the sum of the Jacobian matrix rows and represents the sensitivity of the sample points for all of the source-detector pairs. The sensitivity matrix is the function of the imaging geometry and sampling strategy.…”
Section: Introductionmentioning
confidence: 99%