MONTE CARLO MODELLING OF TRI-MODAL SPECTROSCOPY SPECTRA FOR DETECTION OF EARLY

用于早期检测的三模态光谱的蒙特卡罗建模

• 批准号: 7601475
• 负责人: MICHAEL Stephen FELD
• 金额: $ 0.03万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7601475
• 关键词: Biochemical; Biomedical Research; Code; Computer Retrieval of Information on Scientific Projects Database; Computers; Diffuse; Early Diagnosis; Fluorescence Spectroscopy; Funding; Grant; Institution; Intraepithelial Neoplasia; Lasers; Malignant Neoplasms; Modeling; Optics; Research; Research Personnel; Resources; Signal Transduction; Source; Specimen; Spectrum Analysis; Time; Tissues; United States National Institutes of Health; base; human subject; improved; in vivo; insight; light scattering; parallel processing; simulation

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The tri-modal spectroscopy (TMS) project of the Laser Biomedical Research Center (an NIH P41 Research Resource) employs the combination of light scattering, diffuse reflectance and intrinsic fluorescence spectroscopy to detect pre-cancer (epithelial dysplasia). Studies are being conducted on human subjects in vivo and on ex vivo tissue specimens. There is a pressing need to develop Monte Carlo simulations based on radiative transport to model the spectral signals. The results will provide information to improve TMS analysis and provide insight as to the way the morphological and biochemical tissue components manifest themselves in the optical signals. We have developed a Monte Carlo code and are using it in preliminary studies. However, because the numerical simulations are time consuming, a large parallel processing computer is required.

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