Volume 34, Issue 6
Multi-Source Quantitative Photoacoustic Tomography with Detector Response Function and Limited-View Scanning

Jing Feng, Weifeng Zhou & Hao Gao

J. Comp. Math., 34 (2016), pp. 590-609.

Published online: 2016-12

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  • Abstract

A practical image reconstruction method for multi-source quantitative photoacoustic tomography (QPAT) is proposed in this work with the consideration of detector response function and limited-view scanning. First, the correct detector response function, i.e., spatial impulse response (SIR) and acousto-electric impulse response (EIR), is considered for the ultrasonic transducer to accurately model the acoustic measurement; second, acoustic data is only measured near optical sources with meaningful signal-to-noise ratio (SNR), i.e., the limited-view scanning, which also reduces the data acquisition time for point transducer. However, due to the incomplete limited-view data, a two-step image reconstruction method (i.e., to first reconstruct initial acoustic pressure and then reconstruct optical coefficients) no longer applies, since it is neither possible nor necessary to robustly reconstruct initial acoustic pressure with limited-view data. Therefore, here we propose a direct image reconstruction method that incorporates SIR, EIR and limited-view scanning in a coupled opto-acoustic forward model, regularizes the nonlinear QPAT data fidelity with tensor framelet sparsity, and then solves the QPAT problem with Quasi-Newton method based alternating direction method of multipliers.

  • Keywords

Quantitative photoacoustic tomography Alternating direction method of multipliers Image reconstruction

  • AMS Subject Headings

65N06 65B99.

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

hao.gao.2012@gmail.com (Hao Gao)

  • BibTex
  • RIS
  • TXT
@Article{JCM-34-590, author = {Feng , Jing and Zhou , Weifeng and Gao , Hao }, title = {Multi-Source Quantitative Photoacoustic Tomography with Detector Response Function and Limited-View Scanning}, journal = {Journal of Computational Mathematics}, year = {2016}, volume = {34}, number = {6}, pages = {590--609}, abstract = { A practical image reconstruction method for multi-source quantitative photoacoustic tomography (QPAT) is proposed in this work with the consideration of detector response function and limited-view scanning. First, the correct detector response function, i.e., spatial impulse response (SIR) and acousto-electric impulse response (EIR), is considered for the ultrasonic transducer to accurately model the acoustic measurement; second, acoustic data is only measured near optical sources with meaningful signal-to-noise ratio (SNR), i.e., the limited-view scanning, which also reduces the data acquisition time for point transducer. However, due to the incomplete limited-view data, a two-step image reconstruction method (i.e., to first reconstruct initial acoustic pressure and then reconstruct optical coefficients) no longer applies, since it is neither possible nor necessary to robustly reconstruct initial acoustic pressure with limited-view data. Therefore, here we propose a direct image reconstruction method that incorporates SIR, EIR and limited-view scanning in a coupled opto-acoustic forward model, regularizes the nonlinear QPAT data fidelity with tensor framelet sparsity, and then solves the QPAT problem with Quasi-Newton method based alternating direction method of multipliers.}, issn = {1991-7139}, doi = {https://doi.org/10.4208/jcm.1605-m2016-0528}, url = {http://global-sci.org/intro/article_detail/jcm/9815.html} }
TY - JOUR T1 - Multi-Source Quantitative Photoacoustic Tomography with Detector Response Function and Limited-View Scanning AU - Feng , Jing AU - Zhou , Weifeng AU - Gao , Hao JO - Journal of Computational Mathematics VL - 6 SP - 590 EP - 609 PY - 2016 DA - 2016/12 SN - 34 DO - http://doi.org/10.4208/jcm.1605-m2016-0528 UR - https://global-sci.org/intro/article_detail/jcm/9815.html KW - Quantitative photoacoustic tomography KW - Alternating direction method of multipliers KW - Image reconstruction AB - A practical image reconstruction method for multi-source quantitative photoacoustic tomography (QPAT) is proposed in this work with the consideration of detector response function and limited-view scanning. First, the correct detector response function, i.e., spatial impulse response (SIR) and acousto-electric impulse response (EIR), is considered for the ultrasonic transducer to accurately model the acoustic measurement; second, acoustic data is only measured near optical sources with meaningful signal-to-noise ratio (SNR), i.e., the limited-view scanning, which also reduces the data acquisition time for point transducer. However, due to the incomplete limited-view data, a two-step image reconstruction method (i.e., to first reconstruct initial acoustic pressure and then reconstruct optical coefficients) no longer applies, since it is neither possible nor necessary to robustly reconstruct initial acoustic pressure with limited-view data. Therefore, here we propose a direct image reconstruction method that incorporates SIR, EIR and limited-view scanning in a coupled opto-acoustic forward model, regularizes the nonlinear QPAT data fidelity with tensor framelet sparsity, and then solves the QPAT problem with Quasi-Newton method based alternating direction method of multipliers.
Jing Feng , Weifeng Zhou & Hao Gao . (2020). Multi-Source Quantitative Photoacoustic Tomography with Detector Response Function and Limited-View Scanning. Journal of Computational Mathematics. 34 (6). 590-609. doi:10.4208/jcm.1605-m2016-0528
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