Multispectral Bioluminescence Tomography: Methodology and Simulation

Bioluminescent imaging has proven to be a valuable tool for monitoring physiological and pathological activities at cellular and molecular levels in living small animals. Using biological techniques, target cells can be tagged with reporters encoding several kinds of luciferase enzymes, which generate characteristic photons in a wide spectrum covering the infrared range. Part of the diffused light can reach the body surface of the small animal, be separated into several spectral bands using appropriate filters, and collected by a sensitive CCD camera. Here we present a bioluminescence tomography (BLT) method for a bioluminescent source reconstruction from multispectral data measured on the external surface, and demonstrate the advantages of multispectral BLT in a numerical study using a heterogeneous mouse chest phantom. The results show that the multispectral approach significantly improves the accuracy and stability of the BLT reconstruction even if the data are highly noisy.

[1]  Ming Jiang,et al.  Inverse Problems in Bioluminescence Tomography , 2006 .

[2]  B. Rice,et al.  In vivo imaging of light-emitting probes. , 2001, Journal of biomedical optics.

[3]  Eva M Sevick-Muraca,et al.  Determination of optical properties in semi-infinite turbid media using imaging measurements of frequency-domain photon migration obtained with an intensified charge-coupled device. , 2004, Journal of biomedical optics.

[4]  S. Gambhir,et al.  Optical imaging of Renilla luciferase reporter gene expression in living mice , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Vasilis Ntziachristos,et al.  The inverse source problem based on the radiative transfer equation in optical molecular imaging , 2005 .

[6]  S. Gambhir,et al.  Optical bioluminescence and positron emission tomography imaging of a novel fusion reporter gene in tumor xenografts of living mice. , 2003, Cancer research.

[7]  M. Schweiger,et al.  The finite element method for the propagation of light in scattering media: boundary and source conditions. , 1995, Medical physics.

[8]  Singiresu S. Rao The finite element method in engineering , 1982 .

[9]  C. Contag,et al.  Advances in in vivo bioluminescence imaging of gene expression. , 2002, Annual review of biomedical engineering.

[10]  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.

[11]  Britton Chance,et al.  Diffuse optical tomography with a priori anatomical information. , 2005 .

[12]  S. Honma,et al.  Bidirectional role of orphan nuclear receptor RORα in clock gene transcriptions demonstrated by a novel reporter assay system , 2004, FEBS letters.

[13]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[14]  Umberto Amato,et al.  Maximum entropy regularization of Fredholm integral equations of the first kind , 1991 .

[15]  M. Jiang,et al.  Uniqueness theorems in bioluminescence tomography. , 2004, Medical physics.

[16]  C. Contag,et al.  Emission spectra of bioluminescent reporters and interaction with mammalian tissue determine the sensitivity of detection in vivo. , 2005, Journal of biomedical optics.

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

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

[20]  M. Schweiger,et al.  A finite element approach for modeling photon transport in tissue. , 1993, Medical physics.

[21]  Allan F. Henry,et al.  Nuclear Reactor Analysis , 1977, IEEE Transactions on Nuclear Science.

[22]  Yi Liu,et al.  A practical method to determine the light source distribution in bioluminescent imaging , 2004, SPIE Optics + Photonics.