Literature DB >> 9832022

Quantitative broadband near-infrared spectroscopy of tissue-simulating phantoms containing erythrocytes.

E L Hull1, M G Nichols, T H Foster.   

Abstract

We report the use of steady-state diffuse reflectance spectroscopy (SSDRS) to measure the near-infrared absorption spectrum of liquid phantoms containing human erythrocytes in aqueous suspensions of polystyrene spheres which simulate the scattering properties of tissue. The absorption spectra obtained from these SSDRS measurements of intact red cells under oxygenated and deoxygenated conditions are compared with several published spectra of 'stripped' haemoglobin prepared from lysed cells. Two fitting algorithms (nonlinear least squares and singular value decomposition) which exploit the broad spectral range provided by these measurements (170 data points spanning 164 nm in a single acquisition) are used to determine haemoglobin oxygen saturation (SO2) from SSDR spectra collected over a wide range of measured oxygen partial pressures. The validity of these algorithms is assessed by comparing literature values of p50 (the oxygen tension at which haemoglobin is 50% saturated) and the Hill coefficient to values of these parameters determined from the SO2 estimates. The singular value decomposition algorithm can also be used to reconstruct the non-haemoglobin background absorption spectrum without a priori assumptions regarding its constituent chromophores or their concentrations. Using this technique, the absorption spectrum of a small amount of India ink (maximum absorption coefficient (mu(a max)) approximately 0.0006 mm(-1)) added to a phantom containing red cells (mu(a max) approximately 0.026 mm(-1)) was reconstructed over a full range of oxygen saturations. The implications of these measurements for detection of weakly absorbing chromophores (such as cytochrome aa3) in the presence of haemoglobin are discussed.

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Year:  1998        PMID: 9832022     DOI: 10.1088/0031-9155/43/11/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  22 in total

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2.  A method for determination of the absorption and scattering properties interstitially in turbid media.

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3.  Determination of optical properties by interstitial white light spectroscopy using a custom fiber optic probe.

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Authors:  Jarod C Finlay; Timothy C Zhu; Xiaodong Zhou; Andreea Dimofte; S B Malkowicz; Stephen M Hahn
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5.  Potentials and pitfalls of gold-silica nanoshell as the exogenous contrast agent for optical diagnosis of cancers: a numerical parametric study.

Authors:  Xiao Xu
Journal:  Lasers Med Sci       Date:  2018-10-22       Impact factor: 3.161

6.  Measuring the Physiologic Properties of Oral Lesions Receiving Fractionated Photodynamic Therapy.

Authors:  Shannon M Gallagher-Colombo; Harry Quon; Kelly M Malloy; Peter H Ahn; Keith A Cengel; Charles B Simone; Ara A Chalian; Bert W O'Malley; Gregory S Weinstein; Timothy C Zhu; Mary E Putt; Jarod C Finlay; Theresa M Busch
Journal:  Photochem Photobiol       Date:  2015-07-02       Impact factor: 3.421

7.  Determination of tissue optical properties in PDT treated Head & Neck patients.

Authors:  Andreea Dimofte; Jarod C Finlay; Anna V Sharikova; Keith A Cengel; Peter Ahn; Theresa M Busch; Timothy C Zhu
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8.  Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy.

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9.  Scanning, non-contact, hybrid broadband diffuse optical spectroscopy and diffuse correlation spectroscopy system.

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Journal:  Biomed Opt Express       Date:  2016-01-15       Impact factor: 3.732

10.  Lesion oxygenation associates with clinical outcomes in premalignant and early stage head and neck tumors treated on a phase 1 trial of photodynamic therapy.

Authors:  Peter H Ahn; Jarod C Finlay; Shannon M Gallagher-Colombo; Harry Quon; Bert W O'Malley; Gregory S Weinstein; Ara Chalian; Kelly Malloy; Thomas Sollecito; Martin Greenberg; Charles B Simone; Sally McNulty; Alexander Lin; Timothy C Zhu; Virginia Livolsi; Michael Feldman; Rosemarie Mick; Keith A Cengel; Theresa M Busch
Journal:  Photodiagnosis Photodyn Ther       Date:  2017-11-04       Impact factor: 3.631

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