Analytic expression of fluorescence ratio detection correlates with depth in multi-spectral sub-surface imaging

Here we derived analytical solutions to diffuse light transport in biological tissue based on spectral deformation of diffused near-infrared measurements. These solutions provide a closed-form mathematical expression which predicts that the depth of a fluorescent molecule distribution is linearly related to the logarithm of the ratio of fluorescence at two different wavelengths. The slope and intercept values of the equation depend on the intrinsic values of absorption and reduced scattering of tissue. This linear behavior occurs if the following two conditions are satisfied: the depth is beyond a few millimeters and the tissue is relatively homogeneous. We present experimental measurements acquired with a broad-beam non-contact multi-spectral fluorescence imaging system using a hemoglobin-containing diffusive phantom. Preliminary results confirm that a significant correlation exists between the predicted depth of a distribution of protoporphyrin IX molecules and the measured ratio of fluorescence at two different wavelengths. These results suggest that depth assessment of fluorescence contrast can be achieved in fluorescence-guided surgery to allow improved intra-operative delineation of tumor margins.

[1]  Mamta Khurana,et al.  Quantification of in vivo fluorescence decoupled from the effects of tissue optical properties using fiber-optic spectroscopy measurements. , 2010, Journal of biomedical optics.

[2]  Brian W. Pogue,et al.  Singular value decomposition metrics show limitations of detector design in diffuse fluorescence tomography , 2010, Biomedical optics express.

[3]  Stefan Andersson-Engels,et al.  Fluorescence spectra provide information on the depth of fluorescent lesions in tissue. , 2005, Applied optics.

[4]  Hamid Dehghani,et al.  Subsurface diffuse optical tomography can localize absorber and fluorescent objects but recovered image sensitivity is nonlinear with depth. , 2007, Applied optics.

[5]  Xiaoyao Fan,et al.  Quantitative fluorescence in intracranial tumor: implications for ALA-induced PpIX as an intraoperative biomarker. , 2011, Journal of neurosurgery.

[6]  Hamid Dehghani,et al.  Fluorescence tomography characterization for sub-surface imaging with protoporphyrin IX. , 2008, Optics express.

[7]  A. Klose Hyperspectral excitation-resolved fluorescence tomography of quantum dots. , 2009, Optics letters.

[8]  Sung-Ho Han,et al.  Estimating the depth and lifetime of a fluorescent inclusion in a turbid medium using a simple time-domain optical method. , 2008, Optics letters.

[9]  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.

[10]  J. Frangioni,et al.  An Operational Near-Infrared Fluorescence Imaging System Prototype for Large Animal Surgery , 2003, Technology in cancer research & treatment.

[11]  Keith D. Paulsen,et al.  Estimation of Brain Deformation for Volumetric Image Updating in Protoporphyrin IX Fluorescence-Guided Resection , 2009, Stereotactic and Functional Neurosurgery.

[12]  W. Stummer,et al.  Technical Principles for Protoporphyrin-IX-Fluorescence Guided Microsurgical Resection of Malignant Glioma Tissue , 1998, Acta Neurochirurgica.

[13]  Brian C Wilson,et al.  A fiberoptic reflectance probe with multiple source-collector separations to increase the dynamic range of derived tissue optical absorption and scattering coefficients. , 2010, Optics express.

[14]  Brian W Pogue,et al.  Review of Neurosurgical Fluorescence Imaging Methodologies , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[15]  B. Pogue,et al.  Tutorial on diffuse light transport. , 2008, Journal of biomedical optics.

[16]  L. Ngo,et al.  The FLARE™ Intraoperative Near-Infrared Fluorescence Imaging System: A First-in-Human Clinical Trial in Breast Cancer Sentinel Lymph Node Mapping , 2009, Annals of Surgical Oncology.

[17]  Scott C Davis,et al.  Pre-clinical whole-body fluorescence imaging: Review of instruments, methods and applications. , 2010, Journal of photochemistry and photobiology. B, Biology.

[18]  Yong Wang,et al.  Simple time-domain optical method for estimating the depth and concentration of a fluorescent inclusion in a turbid medium. , 2004, Optics letters.

[19]  A. Boccara,et al.  Analytical method for localizing a fluorescent inclusion in a turbid medium. , 2007, Applied optics.

[20]  F. Zanella,et al.  Fluorescence-guided surgery with 5-aminolevulinic acid for resection of malignant glioma: a randomised controlled multicentre phase III trial. , 2006, The Lancet. Oncology.

[21]  Johan Moan,et al.  On the selectivity of 5-aminolevulinic acid-induced protoporphyrin IX formation. , 2004, Current medicinal chemistry. Anti-cancer agents.

[22]  Xiaoyao Fan,et al.  Coregistered fluorescence-enhanced tumor resection of malignant glioma: relationships between δ-aminolevulinic acid-induced protoporphyrin IX fluorescence, magnetic resonance imaging enhancement, and neuropathological parameters. Clinical article. , 2011, Journal of neurosurgery.

[23]  S. Arridge,et al.  Nonuniqueness in diffusion-based optical tomography. , 1998, Optics letters.

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

[25]  H Stepp,et al.  Intraoperative detection of malignant gliomas by 5-aminolevulinic acid-induced porphyrin fluorescence. , 1998, Neurosurgery.