Literature DB >> 22612123

Validity of a theoretical model to examine blood oxygenation dependent optoacoustics.

Ratan K Saha1, Subhajit Karmakar, Eno Hysi, Madhusudan Roy, Michael C Kolios.   

Abstract

A theoretical model investigating the dependence of optoacoustic (OA) signal on blood oxygen saturation (SO(2)) is discussed. The derivations for the nonbandlimited and bandlimited OA signals from many red blood cells (RBCs) are presented. The OA field generated by many RBCs was obtained by summing the OA field emitted by each RBC approximated as a fluid sphere. A Monte Carlo technique was employed generating the spatial organizations of RBCs in two-dimensional. The RBCs were assumed to have the same SO(2) level in a simulated configuration. The fractional number of oxyhemoglobin molecules, confined in a cell, determined the cellular SO(2) and also defined the blood SO(2). For the nonbandlimited case, the OA signal amplitude decreased and increased linearly with blood SO(2) when illuminated by 700 and 1000 nm radiations, respectively. The power spectra exhibited similar trends over the entire frequency range (MHz to GHz). For the bandlimited case, three acoustic receivers with 2, 10, and 50 MHz as the center frequencies were considered. The linear variations of the OA amplitude with blood SO(2) were also observed for each receiver at those laser sources. The good agreement between simulated and published experimental results validates the model qualitatively.

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Year:  2012        PMID: 22612123     DOI: 10.1117/1.JBO.17.5.055002

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  6 in total

1.  Computational investigation on the photoacoustics of malaria infected red blood cells.

Authors:  Ratan K Saha; Subhajit Karmakar; Madhusudan Roy
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

2.  On the use of photoacoustics to detect red blood cell aggregation.

Authors:  Eno Hysi; Ratan K Saha; Michael C Kolios
Journal:  Biomed Opt Express       Date:  2012-08-30       Impact factor: 3.732

3.  Photoacoustic signal characterization of cancer treatment response: Correlation with changes in tumor oxygenation.

Authors:  Eno Hysi; Lauren A Wirtzfeld; Jonathan P May; Elijus Undzys; Shyh-Dar Li; Michael C Kolios
Journal:  Photoacoustics       Date:  2017-03-21

4.  Insights into photoacoustic speckle and applications in tumor characterization.

Authors:  Eno Hysi; Muhannad N Fadhel; Michael J Moore; Jason Zalev; Eric M Strohm; Michael C Kolios
Journal:  Photoacoustics       Date:  2019-04-05

5.  Classification and discrimination of real and fake blood based on photoacoustic spectroscopy combined with particle swarm optimized wavelet neural networks.

Authors:  Zhong Ren; Tao Liu; Guodong Liu
Journal:  Photoacoustics       Date:  2021-06-01

6.  High frequency label-free photoacoustic microscopy of single cells.

Authors:  Eric M Strohm; Elizabeth S L Berndl; Michael C Kolios
Journal:  Photoacoustics       Date:  2013-09-24
  6 in total

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