Literature DB >> 17374913

Photoacoustic discrimination of viable and thermally coagulated blood using a two-wavelength method for burn injury monitoring.

Robert J Talbert1, Scott H Holan, John A Viator.   

Abstract

Discriminating viable from thermally coagulated blood in a burn wound can be used to profile burn depth, thus aiding the removal of necrotic tissue. In this study, we used a two-wavelength photoacoustic imaging method to discriminate coagulated and non-coagulated blood in a dermal burn phantom. Differences in the optical absorption spectra of coagulated and non-coagulated blood produce different values of the ratio of peak photoacoustic amplitude at 543 and 633 nm. The absorption values obtained from spectroscopic measurements indicate that the ratio of photoacoustic pressure for 543 and 633 nm for non-coagulated blood was 15.7:1 and 1.6:1 for coagulated blood. Using planar blood layers, we found the photoacoustic ratios to be 13.5:1 and 1.6:1, respectively. Using the differences in the ratios of coagulated and non-coagulated blood, we propose a scheme using statistical classification analysis to identify the different blood samples. Based upon these distinctly different ratios, we identified the planar blood samples with an error rate of 0%. Using a burn phantom with cylindrical vessels containing coagulated and non-coagulated blood, we achieved an error rate of 11.4%. These results have shown that photoacoustic imaging could prove to be a valuable tool in the diagnosis of burns.

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Year:  2007        PMID: 17374913     DOI: 10.1088/0031-9155/52/7/004

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


  13 in total

1.  In vivo analysis of burns in a mouse model using spectroscopic optical coherence tomography.

Authors:  Jason R Maher; Volker Jaedicke; Manuel Medina; Howard Levinson; Maria Angelica Selim; William J Brown; Adam Wax
Journal:  Opt Lett       Date:  2014-10-01       Impact factor: 3.776

2.  Evaluation of burn severity in vivo in a mouse model using spectroscopic optical coherence tomography.

Authors:  Yang Zhao; Jason R Maher; Jina Kim; Maria Angelica Selim; Howard Levinson; Adam Wax
Journal:  Biomed Opt Express       Date:  2015-08-13       Impact factor: 3.732

Review 3.  Photoacoustic tomography and sensing in biomedicine.

Authors:  Changhui Li; Lihong V Wang
Journal:  Phys Med Biol       Date:  2009-09-01       Impact factor: 3.609

4.  Photoacoustic imaging.

Authors:  Yin Zhang; Hao Hong; Weibo Cai
Journal:  Cold Spring Harb Protoc       Date:  2011-09-01

5.  Extended photoacoustic transport model for characterization of red blood cell morphology in microchannel flow.

Authors:  Nasire Uluc; Mehmet Burcin Unlu; Gultekin Gulsen; Hakan Erkol
Journal:  Biomed Opt Express       Date:  2018-05-23       Impact factor: 3.732

6.  Photoacoustic discrimination of vascular and pigmented lesions using classical and Bayesian methods.

Authors:  Jennifer A Swearingen; Scott H Holan; Mary M Feldman; John A Viator
Journal:  J Biomed Opt       Date:  2010 Jan-Feb       Impact factor: 3.170

7.  3-D photoacoustic and pulse echo imaging of prostate tumor progression in the mouse window chamber.

Authors:  Daniel R Bauer; Ragnar Olafsson; Leonardo G Montilla; Russell S Witte
Journal:  J Biomed Opt       Date:  2011-02       Impact factor: 3.170

8.  Magnetomotive photoacoustic imaging: in vitro studies of magnetic trapping with simultaneous photoacoustic detection of rare circulating tumor cells.

Authors:  Chen-wei Wei; Jinjun Xia; Ivan Pelivanov; Congxian Jia; Sheng-Wen Huang; Xiaoge Hu; Xiaohu Gao; Matthew O'Donnell
Journal:  J Biophotonics       Date:  2013-02-18       Impact factor: 3.207

9.  Photoacoustic spectroscopy of β-hematin.

Authors:  Edward B Samson; Benjamin S Goldschmidt; Paul J D Whiteside; Amanda S M Sudduth; John R Custer; Brenda Beerntsen; John A Viator
Journal:  J Opt       Date:  2012-05-30       Impact factor: 2.516

Review 10.  Can molecular imaging enable personalized diagnostics? An example using magnetomotive photoacoustic imaging.

Authors:  Matthew O'Donnell; Chen-Wei Wei; Jinjun Xia; Ivan Pelivanov; Congxian Jia; Sheng-Wen Huang; Xiaoge Hu; Xiaohu Gao
Journal:  Ann Biomed Eng       Date:  2013-08-27       Impact factor: 3.934

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