Literature DB >> 17318255

Comparison of spectral variation from spectroscopy to spectral imaging.

Steven C Gebhart1, Shovan K Majumder, Anita Mahadevan-Jansen.   

Abstract

Optical biopsy has been shown to discriminate between normal and diseased tissue with high sensitivity and specificity. Fiber-optic probe-based spectroscopy systems do not provide the necessary spatial information to guide therapy effectively, ultimately requiring a transition from probe-based spectroscopy to spectral imaging. The effect of such a transition on fluorescence and diffuse reflectance line shape is investigated. Inherent differences in spectral line shape between spectroscopy and imaging are characterized and many of these differences may be attributed to a shift in illumination-collection geometry between the two systems. Sensitivity of the line-shape disparity is characterized with respect to changes in sample absorption and scattering as well as to changes in various parameters of the fiber-optic probe design (e.g., fiber diameter, beam steering). Differences in spectral line shape are described in terms of the relative relationship between the light diffusion within the tissue and the distribution of source-detector separation distances for the probe-based and imaging illumination-collection geometries. Monte Carlo simulation is used to determine fiber configurations that minimize the line-shape disparity between the two systems. In conclusion, we predict that fiber-optic probe designs that mimic a spectral imaging geometry and spectral imaging systems designed to emulate a probe-based geometry will be difficult to implement, pointing toward a posteriori correction for illumination-collection geometry to reconcile imaging and probe-based spectral line shapes or independent evaluation of tissue discrimination accuracy for probe-based and spectral imaging systems.

Mesh:

Year:  2007        PMID: 17318255     DOI: 10.1364/ao.46.001343

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  6 in total

1.  Early detection of high-grade squamous intraepithelial lesions in the cervix with quantitative spectroscopic imaging.

Authors:  Condon Lau; Jelena Mirkovic; Chung-Chieh Yu; Geoff P O'Donoghue; Luis Galindo; Ramachandra Dasari; Antonio de las Morenas; Michael Feld; Elizabeth Stier
Journal:  J Biomed Opt       Date:  2013-07       Impact factor: 3.170

Review 2.  Emerging non-invasive Raman methods in process control and forensic applications.

Authors:  Neil A Macleod; Pavel Matousek
Journal:  Pharm Res       Date:  2008-04-16       Impact factor: 4.200

3.  Data-driven imaging of tissue inflammation using RGB-based hyperspectral reconstruction toward personal monitoring of dermatologic health.

Authors:  Taehoon Kim; Michelle A Visbal-Onufrak; Raymond L Konger; Young L Kim
Journal:  Biomed Opt Express       Date:  2017-10-26       Impact factor: 3.732

4.  Wide-field spectral imaging of human ovary autofluorescence and oncologic diagnosis via previously collected probe data.

Authors:  Timothy E Renkoski; Kenneth D Hatch; Urs Utzinger
Journal:  J Biomed Opt       Date:  2012-03       Impact factor: 3.170

5.  Multispectral fluorescence imaging of human ovarian and fallopian tube tissue for early-stage cancer detection.

Authors:  Tyler H Tate; Brenda Baggett; Photini F S Rice; Jennifer Watson Koevary; Gabriel V Orsinger; Ariel C Nymeyer; Weston A Welge; Kathylynn Saboda; Denise J Roe; Kenneth D Hatch; Setsuko K Chambers; Urs Utzinger; Jennifer Kehlet Barton
Journal:  J Biomed Opt       Date:  2016-05-01       Impact factor: 3.170

6.  Non-contact spectroscopic determination of large blood volume fractions in turbid media.

Authors:  Rolf H Bremmer; Stephen C Kanick; Nick Laan; Arjen Amelink; Ton G van Leeuwen; Maurice C G Aalders
Journal:  Biomed Opt Express       Date:  2011-01-24       Impact factor: 3.732

  6 in total

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