Topographic mapping of subsurface fluorescent structures in tissue using multiwavelength excitation
| Autor: | Brian C. Wilson, Farhan N. Dadani, Mathieu Roy, Anthony Kim |
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| Rok vydání: | 2010 |
| Předmět: |
Materials science
genetic structures Research Papers: Imaging Biomedical Engineering Sensitivity and Specificity Signal Imaging phantom Light scattering Biomaterials Optics Image Interpretation Computer-Assisted Animals Humans Tomography Optical Absorption (electromagnetic radiation) business.industry Reproducibility of Results Equipment Design Neoplasms Experimental Image Enhancement Fluorescence Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Equipment Failure Analysis Wavelength Microscopy Fluorescence Multiphoton business Algorithms Preclinical imaging Visible spectrum |
| Zdroj: | Journal of Biomedical Optics. 15:066026 |
| ISSN: | 1083-3668 |
| DOI: | 10.1117/1.3523369 |
| Popis: | Different colors of visible light penetrate to varying depths in tissue due to the wavelength dependence of tissue optical absorption and elastic scattering. We exploit this to map the contour of the closest surface of a buried fluorescent object. This uses a novel algorithm based on the diffusion theory description of light propagation in tissue at each excitation wavelength to derive metrics that define the depth of the top surface of the object. The algorithm was validated using a tissue-simulating phantom. It was then demonstrated in vivo by subsurface brain tumor topography in a rodent model, using the fluorescence signal from protoporphyrin IX that is preferentially synthesized within malignant cells following systemic application of aminolevulinic acid. Comparisons to histomorphometry in the brain post mortem show the spatial accuracy of the technique. This method has potential for fluorescence image-guided tumor surgery, as well as other biomedical and nonbiological applications in subsurface sensing. |
| Databáze: | OpenAIRE |
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