Literature DB >> 12033302

Visible reflectance hyperspectral imaging: characterization of a noninvasive, in vivo system for determining tissue perfusion.

Karel J Zuzak1, Michael D Schaeberle, E Neil Lewis, Ira W Levin.   

Abstract

We characterize a visible reflectance hyperspectral imaging system for noninvasive, in vivo, quantitative analysis of human tissue in a clinical environment. The subject area is illuminated with a quartz-tungsten-halogen light source, and the reflected light is spectrally discriminated by a liquid crystal tunable filter (LCTF) and imaged onto a silicon charge-coupled device detector. The LCTF is continuously tunable within its useful visible spectral range (525-725 nm) with an average spectral full width at half-height bandwidth of 0.38 nm and an average transmittance of 10.0%. A standard resolution target placed 5.5 ft from the system results in a field of view with a 17-cm diameter and an optimal spatial resolution of 0.45 mm. The measured reflectance spectra are quantified in terms of apparent absorbance and formatted as a hyperspectral image cube. As a clinical example, we examine a model of vascular dysfunction involving both ischemia and reactive hyperemia during tissue reperfusion. In this model, spectral images, based upon oxyhemoglobin and deoxyhemoblobin signals in the 525-645-nm region, are deconvoluted using a multivariate least-squares regression analysis to visualize the spatial distribution of the percentages of oxyhemoglobin and deoxyhemoglobin in specific skin tissue areas.

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Year:  2002        PMID: 12033302     DOI: 10.1021/ac011275f

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  34 in total

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Authors:  Dmitry Yudovsky; Aksone Nouvong; Laurent Pilon
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Algorithm for mapping cutaneous tissue oxygen concentration using hyperspectral imaging.

Authors:  Sorin Miclos; Sorin Viorel Parasca; Mihaela Antonina Calin; Dan Savastru; Dragos Manea
Journal:  Biomed Opt Express       Date:  2015-08-18       Impact factor: 3.732

3.  Digital phantoms generated by spectral and spatial light modulators.

Authors:  Bonghwan Chon; Fuyuki Tokumasu; Ji Youn Lee; David W Allen; Joseph P Rice; Jeeseong Hwang
Journal:  J Biomed Opt       Date:  2015       Impact factor: 3.170

4.  Contrast enhancement for in vivo visible reflectance imaging of tissue oxygenation.

Authors:  Nicole J Crane; Zachary D Schultz; Ira W Levin
Journal:  Appl Spectrosc       Date:  2007-08       Impact factor: 2.388

5.  Spectral imaging of the retina.

Authors:  D J Mordant; I Al-Abboud; G Muyo; A Gorman; A Sallam; P Ritchie; A R Harvey; A I McNaught
Journal:  Eye (Lond)       Date:  2011-03       Impact factor: 3.775

6.  Second derivative multispectral algorithm for quantitative assessment of cutaneous tissue oxygenation.

Authors:  Jiwei Huang; Shiwu Zhang; Surya Gnyawali; Chandan K Sen; Ronald X Xu
Journal:  J Biomed Opt       Date:  2015-03       Impact factor: 3.170

Review 7.  Diagnostic and Prognostic Utility of Non-Invasive Multimodal Imaging in Chronic Wound Monitoring: a Systematic Review.

Authors:  Rashmi Mukherjee; Suman Tewary; Aurobinda Routray
Journal:  J Med Syst       Date:  2017-02-13       Impact factor: 4.460

8.  Image mapping spectrometry: calibration and characterization.

Authors:  Noah Bedard; Nathan Hagen; Liang Gao; Tomasz S Tkaczyk
Journal:  Opt Eng       Date:  2012-11-01

9.  Snapshot Image Mapping Spectrometer (IMS) with high sampling density for hyperspectral microscopy.

Authors:  Liang Gao; Robert T Kester; Nathan Hagen; Tomasz S Tkaczyk
Journal:  Opt Express       Date:  2010-07-05       Impact factor: 3.894

10.  Evaluation of diabetic foot ulcer healing with hyperspectral imaging of oxyhemoglobin and deoxyhemoglobin.

Authors:  Aksone Nouvong; Byron Hoogwerf; Emile Mohler; Brian Davis; Azita Tajaddini; Elizabeth Medenilla
Journal:  Diabetes Care       Date:  2009-07-29       Impact factor: 17.152

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