Bioluminescence imaging of point sources implanted in small animals post mortem: evaluation of a method for estimating source strength and depth

The performance of a simple approach for the in vivo reconstruction of bioluminescent point sources in small animals was evaluated. The method uses the diffusion approximation as a forward model of light propagation from a point source in a homogeneous tissue to find the source depth and power. The optical properties of the tissue are estimated from reflectance images obtained at the same location on the animal. It was possible to localize point sources implanted in mice, 2-8 mm deep, to within 1 mm. The same performance was achieved for sources implanted in rat abdomens when the effects of tissue surface curvature were eliminated. The source power was reconstructed within a factor of 2 of the true power for the given range of depths, even though the apparent brightness of the source varied by several orders of magnitude. The study also showed that reconstructions using optical properties measured in situ were superior to those based on data in the literature.

[1]  P. Hamilton,et al.  Non-Invasive in vivo Imaging in Small Animal Research , 2006, Cellular oncology : the official journal of the International Society for Cellular Oncology.

[2]  Paola Taroni,et al.  Determination of the optical properties of anisotropic biological media using an isotropic diffusion model. , 2007, Journal of biomedical optics.

[3]  S. Gambhir,et al.  Applications of molecular imaging in cancer gene therapy. , 2005, Current gene therapy.

[4]  G. Roodman.  Mechanisms of bone metastasis. , 2004, Discovery medicine.

[5]  S R Arridge,et al.  Recent advances in diffuse optical imaging , 2005, Physics in medicine and biology.

[6]  E Duco Jansen,et al.  Effect of optical tissue clearing on spatial resolution and sensitivity of bioluminescence imaging. , 2006, Journal of biomedical optics.

[7]  H. J. van Staveren,et al.  Light scattering in Intralipid-10% in the wavelength range of 400-1100 nm. , 1991, Applied optics.

[8]  T. A. King,et al.  In vivo to post-mortem change in tissue penetration of red light , 2005, Lasers in Medical Science.

[9]  Arion F Chatziioannou,et al.  Effect of optical property estimation accuracy on tomographic bioluminescence imaging: simulation of a combined optical–PET (OPET) system , 2006, Physics in medicine and biology.

[10]  Teiji Wada,et al.  RANKL-RANK signaling in osteoclastogenesis and bone disease. , 2006, Trends in molecular medicine.

[11]  Hua-bei Jiang,et al.  Three-dimensional bioluminescence tomography with model-based reconstruction. , 2004, Optics express.

[12]  Stefan Andersson-Engels,et al.  Modeling of spectral changes for depth localization of fluorescent inclusion. , 2005, Optics express.

[13]  M S Patterson,et al.  Quantification of bioluminescence images of point source objects using diffusion theory models , 2006, Physics in medicine and biology.

[14]  E Duco Jansen,et al.  Validation of luminescent source reconstruction using single-view spectrally resolved bioluminescence images. , 2007, Applied optics.

[15]  B. Rice,et al.  Three-dimensional reconstruction of in vivo bioluminescent sources based on multispectral imaging. , 2007, Journal of biomedical optics.

[16]  P. Loi,et al.  Development of sheep androgenetic embryos is boosted following transfer of male pronuclei into androgenetic hemizygotes. , 2007, Cloning and stem cells.

[17]  P. R. Bevington,et al.  Data Reduction and Error Analysis for the Physical Sciences , 1969 .

[18]  A. Chatziioannou,et al.  Tomographic bioluminescence imaging by use of a combined optical-PET (OPET) system: a computer simulation feasibility study , 2005, Physics in medicine and biology.

[19]  R. Leahy,et al.  Hyperspectral and multispectral bioluminescence optical tomography for small animal imaging , 2005, Physics in medicine and biology.

[20]  Geoffrey McLennan,et al.  Practical reconstruction method for bioluminescence tomography. , 2005, Optics express.

[21]  Wafik S El-Deiry,et al.  Imaging and oncologic drug development. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[22]  S. Gambhir,et al.  Multimodality imaging of tumor xenografts and metastases in mice with combined small-animal PET, small-animal CT, and bioluminescence imaging. , 2007, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[23]  L. O. Svaasand,et al.  Boundary conditions for the diffusion equation in radiative transfer. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.

[24]  Nirmala Ramanujam,et al.  Effect of optical clearing agents on the in vivo optical properties of squamous epithelial tissue , 2006, Lasers in surgery and medicine.

[25]  Bernard Choi,et al.  Correlation between collagen solubility and skin optical clearing using sugars , 2007, Lasers in surgery and medicine.

[26]  M S Patterson,et al.  Influence of layered tissue architecture on estimates of tissue optical properties obtained from spatially resolved diffuse reflectometry. , 1998, Applied optics.

[27]  B. Wilson,et al.  A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo. , 1992, Medical physics.

[28]  B. Pogue,et al.  Spectrally resolved bioluminescence optical tomography. , 2006, Optics letters.

[29]  Ahmad Y. Sheikh,et al.  Molecular imaging of embryonic stem cell misbehavior and suicide gene ablation. , 2007, Cloning and stem cells.

[30]  S. Arridge,et al.  Estimation of optical pathlength through tissue from direct time of flight measurement , 1988 .

[31]  R. Steiner,et al.  Spatially resolved absolute diffuse reflectance measurements for noninvasive determination of the optical scattering and absorption coefficients of biological tissue. , 1996, Applied optics.