Literature DB >> 21743514

Estimating optical absorption, scattering, and Grueneisen distributions with multiple-illumination photoacoustic tomography.

Peng Shao1, Ben Cox, Roger J Zemp.   

Abstract

While photoacoustic methods offer significant promise for high-resolution optical contrast imaging, quantification has thus far proved challenging. In this paper, a noniterative reconstruction technique for producing quantitative photoacoustic images of both absorption and scattering perturbations is introduced for the case when the optical properties of the turbid background are known and multiple optical illumination locations are used. Through theoretical developments and computational examples, it is demonstrated that multiple-illumination photoacoustic tomography (MI-PAT) can alleviate ill-posedness due to absorption-scattering nonuniqueness and produce quantitative high-resolution reconstructions of optical absorption, scattering, and Gruneisen parameter distributions. While numerical challenges still exist, we show that the linearized MI-PAT framework that we propose has orders of magnitude improved condition number compared with CW diffuse optical tomography.

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Year:  2011        PMID: 21743514     DOI: 10.1364/AO.50.003145

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  11 in total

1.  A least-squares fixed-point iterative algorithm for multiple illumination photoacoustic tomography.

Authors:  Tyler Harrison; Peng Shao; Roger J Zemp
Journal:  Biomed Opt Express       Date:  2013-09-24       Impact factor: 3.732

2.  Considering sources and detectors distributions for quantitative photoacoustic tomography.

Authors:  Ningning Song; Carole Deumié; Anabela Da Silva
Journal:  Biomed Opt Express       Date:  2014-10-16       Impact factor: 3.732

3.  Machine learning enabled multiple illumination quantitative optoacoustic oximetry imaging in humans.

Authors:  Thomas Kirchner; Michael Jaeger; Martin Frenz
Journal:  Biomed Opt Express       Date:  2022-04-05       Impact factor: 3.562

4.  Photoacoustic imaging of kidney fibrosis for assessing pretransplant organ quality.

Authors:  Eno Hysi; Xiaolin He; Muhannad N Fadhel; Tianzhou Zhang; Adriana Krizova; Michael Ordon; Monica Farcas; Kenneth T Pace; Victoria Mintsopoulos; Warren L Lee; Michael C Kolios; Darren A Yuen
Journal:  JCI Insight       Date:  2020-05-21

5.  Iterative algorithm for multiple illumination photoacoustic tomography (MIPAT) using ultrasound channel data.

Authors:  Peng Shao; Tyler Harrison; Roger J Zemp
Journal:  Biomed Opt Express       Date:  2012-11-13       Impact factor: 3.732

6.  Multiple irradiation sensing of the optical effective attenuation coefficient for spectral correction in handheld OA imaging.

Authors:  K Gerrit Held; Michael Jaeger; Jaro Rička; Martin Frenz; H Günhan Akarçay
Journal:  Photoacoustics       Date:  2016-06-04

Review 7.  Deep learning for biomedical photoacoustic imaging: A review.

Authors:  Janek Gröhl; Melanie Schellenberg; Kris Dreher; Lena Maier-Hein
Journal:  Photoacoustics       Date:  2021-02-02

8.  Interstitial photoacoustic sensor for the measurement of tissue temperature during interstitial laser phototherapy.

Authors:  Zhifang Li; Haiyu Chen; Feifan Zhou; Hui Li; Wei R Chen
Journal:  Sensors (Basel)       Date:  2015-03-06       Impact factor: 3.576

9.  Optoacoustic imaging and tomography: reconstruction approaches and outstanding challenges in image performance and quantification.

Authors:  Christian Lutzweiler; Daniel Razansky
Journal:  Sensors (Basel)       Date:  2013-06-04       Impact factor: 3.576

10.  Reflection-mode multiple-illumination photoacoustic sensing to estimate optical properties.

Authors:  Janaka C Ranasinghesagara; Yan Jiang; Roger J Zemp
Journal:  Photoacoustics       Date:  2013-12-16
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