Literature DB >> 18758563

Quantitative photoacoustic tomography from boundary pressure measurements: noniterative recovery of optical absorption coefficient from the reconstructed absorbed energy map.

Biswanath Banerjee1, Srijeeta Bagchi, Ram Mohan Vasu, Debasish Roy.   

Abstract

We describe a noniterative method for recovering optical absorption coefficient distribution from the absorbed energy map reconstructed using simulated and noisy boundary pressure measurements. The source reconstruction problem is first solved for the absorbed energy map corresponding to single- and multiple-source illuminations from the side of the imaging plane. It is shown that the absorbed energy map and the absorption coefficient distribution, recovered from the single-source illumination with a large variation in photon flux distribution, have signal-to-noise ratios comparable to those of the reconstructed parameters from a more uniform photon density distribution corresponding to multiple-source illuminations. The absorbed energy map is input as absorption coefficient times photon flux in the time-independent diffusion equation (DE) governing photon transport to recover the photon flux in a single step. The recovered photon flux is used to compute the optical absorption coefficient distribution from the absorbed energy map. In the absence of experimental data, we obtain the boundary measurements through Monte Carlo simulations, and we attempt to address the possible limitations of the DE model in the overall reconstruction procedure.

Mesh:

Year:  2008        PMID: 18758563     DOI: 10.1364/josaa.25.002347

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  14 in total

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

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4.  Quantitative photoacoustic image reconstruction improves accuracy in deep tissue structures.

Authors:  Michael A Mastanduno; Sanjiv S Gambhir
Journal:  Biomed Opt Express       Date:  2016-09-01       Impact factor: 3.732

5.  A calibration-free, one-step method for quantitative photoacoustic tomography.

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Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

6.  Measurement of cardiac output by use of noninvasively measured transient hemodilution curves with photoacoustic technology.

Authors:  Dongyel Kang; Qiaojian Huang; Youzhi Li
Journal:  Biomed Opt Express       Date:  2014-04-07       Impact factor: 3.732

7.  Quantitative photoacoustic tomography augmented with surface light measurements.

Authors:  Olli Nykänen; Aki Pulkkinen; Tanja Tarvainen
Journal:  Biomed Opt Express       Date:  2017-09-08       Impact factor: 3.732

8.  Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

Authors:  Ivan Olefir; Stratis Tzoumas; Courtney Restivo; Pouyan Mohajerani; Lei Xing; Vasilis Ntziachristos
Journal:  IEEE Trans Med Imaging       Date:  2020-10-28       Impact factor: 10.048

9.  Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-Regularized Local Fluence Correction.

Authors:  Mohamed A Naser; Diego R T Sampaio; Nina M Munoz; Cayla A Wood; Trevor M Mitcham; Wolfgang Stefan; Konstantin V Sokolov; Theo Z Pavan; Rony Avritscher; Richard R Bouchard
Journal:  IEEE Trans Med Imaging       Date:  2018-09-10       Impact factor: 10.048

10.  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

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