A Multi-Camera System for Bioluminescence Tomography in Preclinical Oncology Research
Abstract
:1. Introduction
2. Experimental Section
2.1. Device and Technological Rationale
2.2. High Sensitivity CCD Camera
2.3. Multiple Head Optical Imaging System
2.4. Image Reconstruction Software
- (1)
- Estimate the source location by backprojecting the experimental data into the volume discretized into voxels, calculate the intensity of reflection on boundary for each voxel j, and subtract its contribution from the transmitted part of intensity. The diffusion equation is used to determine the balance intensities for internal sources NS for the surface element in a single voxel.
- (2)
- For each voxel j determine an initial order approximation for the photon fluence:
- (3)
- Apply the iterative deblurring Expectation Maximization method to obtain a final reconstruction result φjn+1:
3. Results and Discussion
3.1. Validation Experiments in a Homogeneous Cylindrical Phantom
3.2. In Vivo Imaging in Lung Metastasis Models
3.3. Multimodality in Vivo Comparison
4. Conclusions
Acknowledgments
Conflict of Interest
References
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Appendix
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Lewis, M.A.; Richer, E.; Slavine, N.V.; Kodibagkar, V.D.; Soesbe, T.C.; Antich, P.P.; Mason, R.P. A Multi-Camera System for Bioluminescence Tomography in Preclinical Oncology Research. Diagnostics 2013, 3, 325-343. https://doi.org/10.3390/diagnostics3030325
Lewis MA, Richer E, Slavine NV, Kodibagkar VD, Soesbe TC, Antich PP, Mason RP. A Multi-Camera System for Bioluminescence Tomography in Preclinical Oncology Research. Diagnostics. 2013; 3(3):325-343. https://doi.org/10.3390/diagnostics3030325
Chicago/Turabian StyleLewis, Matthew A., Edmond Richer, Nikolai V. Slavine, Vikram D. Kodibagkar, Todd C. Soesbe, Peter P. Antich, and Ralph P. Mason. 2013. "A Multi-Camera System for Bioluminescence Tomography in Preclinical Oncology Research" Diagnostics 3, no. 3: 325-343. https://doi.org/10.3390/diagnostics3030325