Literature DB >> 19895113

Reduction of background in optoacoustic image sequences obtained under tissue deformation.

Michael Jaeger1, Lea Siegenthaler, Michael Kitz, Martin Frenz.   

Abstract

For real-time optoacoustic imaging of the human body, a linear array transducer and reflection mode optical irradiation is preferably used. Experimental outcomes however revealed that such a setup results in significant image background, which prevents imaging structures at the ultimate depth limited only by the optical attenuation of the irradiating light and the signal noise level. Various sources of image background, such as bulk tissue absorption, reconstruction artifacts, and backscattered ultrasound, could be identified. To overcome these limitations, we developed a novel method that results in significantly reduced background and increased imaging depth. For this purpose, we acquire, in parallel, a series of optoacoustic and echo-ultrasound images while the tissue sample is gradually deformed by an externally applied force. Optoacoustic signals and background signals are differently affected by the deformation and can thus be distinguished by image processing. This method takes advantage of a combined optoacoustic/echo-ultrasound device and has a strong potential for improving real-time optoacoustic imaging of deep tissue structures.

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Year:  2009        PMID: 19895113     DOI: 10.1117/1.3227038

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


  11 in total

1.  Real-time optoacoustic monitoring and three-dimensional mapping of a human arm vasculature.

Authors:  Matthew P Fronheiser; Sergey A Ermilov; Hans-Peter Brecht; Andre Conjusteau; Richard Su; Ketan Mehta; Alexander A Oraevsky
Journal:  J Biomed Opt       Date:  2010 Mar-Apr       Impact factor: 3.170

2.  Effect of irradiation distance on image contrast in epi-optoacoustic imaging of human volunteers.

Authors:  Gerrit Held; Stefan Preisser; H Günhan Akarçay; Sara Peeters; Martin Frenz; Michael Jaeger
Journal:  Biomed Opt Express       Date:  2014-10-01       Impact factor: 3.732

3.  Reflection artifact identification in photoacoustic imaging using multi-wavelength excitation.

Authors:  Ho Nhu Y Nguyen; Altaf Hussain; Wiendelt Steenbergen
Journal:  Biomed Opt Express       Date:  2018-09-04       Impact factor: 3.732

4.  Photoacoustic clutter reduction by inversion of a linear scatter model using plane wave ultrasound measurements.

Authors:  Hans-Martin Schwab; Martin F Beckmann; Georg Schmitz
Journal:  Biomed Opt Express       Date:  2016-03-24       Impact factor: 3.732

5.  In vivo demonstration of reflection artifact reduction in photoacoustic imaging using synthetic aperture photoacoustic-guided focused ultrasound (PAFUSion).

Authors:  Mithun Kuniyil Ajith Singh; Michael Jaeger; Martin Frenz; Wiendelt Steenbergen
Journal:  Biomed Opt Express       Date:  2016-07-11       Impact factor: 3.732

6.  Determining the optical properties of a gelatin‑TiO(2) phantom at 780 nm.

Authors:  H Günhan Akarçay; Stefan Preisser; Martin Frenz; Jaro Rička
Journal:  Biomed Opt Express       Date:  2012-02-07       Impact factor: 3.732

7.  Adjustable photoacoustic tomography probe improves light delivery and image quality.

Authors:  Gurneet S Sangha; Nicholas J Hale; Craig J Goergen
Journal:  Photoacoustics       Date:  2018-08-22

8.  Clutter elimination for deep clinical optoacoustic imaging using localised vibration tagging (LOVIT).

Authors:  Michael Jaeger; Jeffrey C Bamber; Martin Frenz
Journal:  Photoacoustics       Date:  2013-08-02

9.  Rapid scanning wide-field clutter elimination in epi-optoacoustic imaging using comb LOVIT.

Authors:  Tigran Petrosyan; Maria Theodorou; Jeff Bamber; Martin Frenz; Michael Jaeger
Journal:  Photoacoustics       Date:  2018-02-19

10.  Investigation of light delivery geometries for photoacoustic applications using Monte Carlo simulations with multiple wavelengths, tissue types, and species characteristics.

Authors:  Timothy Sowers; Heechul Yoon; Stanislav Emelianov
Journal:  J Biomed Opt       Date:  2020-01       Impact factor: 3.170

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