Evaluation of optical imaging and spectroscopy approaches for cardiac tissue depth assessment

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NIR light scattering from ex vivo porcine cardiac tissue was investigated to understand how imaging or point measurement approaches may assist development of methods for tissue depth assessment. Our results indicate an increase of average image intensity as thickness increases up to approximately 2 mm. In a dual fiber spectroscopy configuration, sensitivity up to approximately 3 mm with an increase to 6 mm when spectral ratio between selected wavelengths was obtained. Preliminary Monte Carlo results provided reasonable fit to the experimental data.

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Lin, B; Matthews, D; Chernomordik, V; Gandjbakhche, A; Lane, S & Demos, S G February 13, 2008.

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NIR light scattering from ex vivo porcine cardiac tissue was investigated to understand how imaging or point measurement approaches may assist development of methods for tissue depth assessment. Our results indicate an increase of average image intensity as thickness increases up to approximately 2 mm. In a dual fiber spectroscopy configuration, sensitivity up to approximately 3 mm with an increase to 6 mm when spectral ratio between selected wavelengths was obtained. Preliminary Monte Carlo results provided reasonable fit to the experimental data.

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PDF-file: 9 pages; size: 0.5 Mbytes

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  • Presented at: Photonics West 2008, San Jose, CA, United States, Jan 18 - Jan 24, 2008

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  • Report No.: LLNL-PROC-401533
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 926039
  • Archival Resource Key: ark:/67531/metadc898135

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Office of Scientific & Technical Information Technical Reports

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  • February 13, 2008

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 5, 2016, 3:23 p.m.

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Lin, B; Matthews, D; Chernomordik, V; Gandjbakhche, A; Lane, S & Demos, S G. Evaluation of optical imaging and spectroscopy approaches for cardiac tissue depth assessment, article, February 13, 2008; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc898135/: accessed November 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.