J. Prakash, C. B. Shaw, R. Manjappa, R. Kanhirodan, and P. K. Yalavarthy, “Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction,” IEEE J. Sel. Top. Quantum Electron.20, 6800609 (2014).

[CrossRef]

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[CrossRef]

C. Huang, K. Wang, L. Nie, L. V. Wang, and M. A. Anastasio, “Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography with Acoustically Inhomogeneous Media,” IEEE Trans. Med. Imag.32, 1097–1110 (2013).

[CrossRef]

C. B. Shaw, J. Prakash, M. Pramanik, and P. K. Yalavarthy, “Least Squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography,” J. Biomed. Opt.18, 080501:1–3 (2013).

J. Prakash and P. K. Yalavarthy, “A LSQR-type method provides a computationally efficient automated optimal choice of regularization parameter in diffuse optical tomography,” Med. Phys.40, 033101 (2013).

[CrossRef]
[PubMed]

K. Wang, R. Su, A. A. Oraevsky, and M. A. Anastasio, “Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography,” Phys. Med. Bio.57, 5399–5423 (2012).

[CrossRef]

X. L. Dean-Ben, V. Ntziachristos, and D. Razansky, “Acceleration of Optoacoustic Model-Based Reconstruction Using Angular Image Discretization,” IEEE Trans. Med. Imag.31, 1154–1162 (2012).

[CrossRef]

X. L. Dean-Ben, A. Buehler, V. Ntziachristos, and D. Razansky, “Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography,” IEEE Trans. Med. Imag.31, 1922–1928 (2012).

[CrossRef]

L. H. V. Wang and S. Hu, “Photoacoustic Tomography: In Vivo Imaging from Organelles to Organs,” Science335, 1458–1462, (2012).

[CrossRef]
[PubMed]

A. Buehler, A. Rosenthal, T. Jetzfellner, A. Dima, D. Razansky, and V. Ntziachristos, “Model-based optoacoustic inversions with incomplete projection data,” Med. Phys.38, 1694–1704 (2011).

[CrossRef]
[PubMed]

Z. Guo, C. H. Li, L. Song, and L. H. V. Wang, “Compressed sensing in photoacoustic tomography in vivo,” J. Biomed. Opt.15, 021311 (2010).

[CrossRef]
[PubMed]

B. E. Treeby and B. T. Cox, “k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields,” J. Biomed. Opt.15, 021314 (2010).

[CrossRef]
[PubMed]

M. V. Afonso, J. M. Bioucas-Dias, and M. A. T. Figueiredo, “Fast Image Recovery Using Variable Splitting and Constrained Optimization,” IEEE Trans. Image Process.19, 2345–2356 (2010).

[CrossRef]
[PubMed]

J. Provost and F. Lesage, “The application of compressed sensing for photo-acoustic tomography,” IEEE Trans. Med. Imag.28, 585–594 (2009).

[CrossRef]

M. Pramanik and L. H. V. Wang, “Thermoacoustic and photoacoustic sensing of temperature,” J. Biomed. Opt.14, 054024 (2009).

[CrossRef]
[PubMed]

K. H. Song and L. H. V. Wang, “Noninvasive photoacoustic imaging of the thoracic cavity and the kidney in small and large animals,” Med. Phys.35, 4524–4529 (2008).

[CrossRef]
[PubMed]

M. Pramanik, G. Ku, C. H. Li, and L. H. V. Wang, “Design and evaluation of a novel breast cancer detection system combining both thermoacoustic (TA) and photoacoustic (PA) tomography,” Med. Phys.35, 2218–2223 (2008).

[CrossRef]
[PubMed]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

P. Kuchment and L. Kunyansky, “Mathematics of thermoacoustic and photoacoustic tomography,” European J. App. Math.19, 191–224 (2008).

Y. Hristova, P. Kuchment, and L. V. Nguyen, “Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media,” Inv. Problems24, 055006 (2008).

[CrossRef]

P. Ephrat, L. Keenliside, A. Seabrook, F. S. Prato, and J. J. L. Carson, “Three-dimensional photoacoustic imaging by sparse-array detection and iterative image reconstruction,” J. Biomed. Opt.13, 054052 (2008).

[CrossRef]
[PubMed]

E. Candes and M. Wakin, “An introduction to compressive sampling,” IEEE Signal Process. Mag.25, 21–30 (2008).

[CrossRef]

J. Romberg, “Imaging via compressive sampling,” IEEE Signal Process. Mag.25, 14–20 (2008).

[CrossRef]

P. C. Hansen, “Regularization tools version 4.0 for Matlab 7.3,” Numerical Algorithms46, 189–194 (2007).

[CrossRef]

H. F. Zhang, K. Maslov, G. Stoica, and L. H. V. Wang, “Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging,” Nat. Biotech.24, 848–851 (2006).

[CrossRef]

M. Xu and L. H. V. Wang, “Universal back-projection algorithm for photoacoustic computed tomography,” Phys. Review E71, 016706 (2005).

[CrossRef]

M. A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, and L. H. V. Wang, “Half-time image reconstruction in thermoacoustic tomography,” IEEE Trans. Med. Imag.24, 199–210 (2005).

[CrossRef]

B. Yin, D. Xing, Y. Wang, Y. Zeng, Y. Tan, and Q. Chen, “Fast photoacoustic imaging system based on 320-element linear transducer array,” Phys. Med. Bio.49, 1339–1346 (2004).

[CrossRef]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

[CrossRef]

A. A. Karabutov, E. V. Savateeva, and A. A. Oraevsky, “Optoacoustic tomography: New modality of laser diagnostic systems,” Laser Phys.13, 711–723 (2003).

K. P. Kostli and P. C. Beard, “Two-dimensional photoacoustic imaging by use of Fourier transform image reconstruction and a detector with an anisotropic response,” App. Opt.42, 1899–1908 (2003).

[CrossRef]

G. Paltauf, J. A. Viator, S. A. Prahl, and S. L. Jacques, “Iterative reconstruction algorithm for optoacoustic imaging,” J. Acous. Soc. Am.112, 1536–1544 (2002).

[CrossRef]

M. E. Kilmer and D. P. OLeary, “Choosing regularization parameters in iterative methods for ill-posed problems,” SIAM J. Matrix Anal. Appl.22, 1204–1221 (2001).

[CrossRef]

G. Ku and L. H. V. Wang, “Scanning thermoacoustic tomography in biological tissue,” Med. Phys.27, 1195–1202 (2000).

[CrossRef]
[PubMed]

J. A. Fessler and W. L. Rogers, “Spatial resolution properties of penalized- likelihood image reconstruction methods: Space-invariant tomographs,” IEEE Trans. Image Process.5, 1346–1358 (1996).

[CrossRef]

C. C. Paige and M. A. Saunders, “LSQR: An algorithm for sparse linear equations and sparse least squares,” ACM Trans. Math. Software8, 43–71 (1982).

[CrossRef]

B. R. Hunt, “The application of constrained least square estimation to image restoration by digital computer,” IEEE Trans. Comput.C-22, 805–812 (1973).

[CrossRef]

M. Figueiredo, J. Bioucas-Dias, and M. Afonso, “Fast Frame-Based Image Deconvolution Using Variable Splitting and Constrained Optimization,” IEEE Worskhop on Statistical Signal Processing, Cardiff, Wales, 2009.

M. V. Afonso, J. M. Bioucas-Dias, and M. A. T. Figueiredo, “Fast Image Recovery Using Variable Splitting and Constrained Optimization,” IEEE Trans. Image Process.19, 2345–2356 (2010).

[CrossRef]
[PubMed]

C. Huang, K. Wang, L. Nie, L. V. Wang, and M. A. Anastasio, “Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography with Acoustically Inhomogeneous Media,” IEEE Trans. Med. Imag.32, 1097–1110 (2013).

[CrossRef]

K. Wang, R. Su, A. A. Oraevsky, and M. A. Anastasio, “Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography,” Phys. Med. Bio.57, 5399–5423 (2012).

[CrossRef]

M. A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, and L. H. V. Wang, “Half-time image reconstruction in thermoacoustic tomography,” IEEE Trans. Med. Imag.24, 199–210 (2005).

[CrossRef]

K. P. Kostli and P. C. Beard, “Two-dimensional photoacoustic imaging by use of Fourier transform image reconstruction and a detector with an anisotropic response,” App. Opt.42, 1899–1908 (2003).

[CrossRef]

M. Figueiredo, J. Bioucas-Dias, and M. Afonso, “Fast Frame-Based Image Deconvolution Using Variable Splitting and Constrained Optimization,” IEEE Worskhop on Statistical Signal Processing, Cardiff, Wales, 2009.

M. V. Afonso, J. M. Bioucas-Dias, and M. A. T. Figueiredo, “Fast Image Recovery Using Variable Splitting and Constrained Optimization,” IEEE Trans. Image Process.19, 2345–2356 (2010).

[CrossRef]
[PubMed]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

X. L. Dean-Ben, A. Buehler, V. Ntziachristos, and D. Razansky, “Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography,” IEEE Trans. Med. Imag.31, 1922–1928 (2012).

[CrossRef]

A. Buehler, A. Rosenthal, T. Jetzfellner, A. Dima, D. Razansky, and V. Ntziachristos, “Model-based optoacoustic inversions with incomplete projection data,” Med. Phys.38, 1694–1704 (2011).

[CrossRef]
[PubMed]

E. Candes and M. Wakin, “An introduction to compressive sampling,” IEEE Signal Process. Mag.25, 21–30 (2008).

[CrossRef]

P. Ephrat, L. Keenliside, A. Seabrook, F. S. Prato, and J. J. L. Carson, “Three-dimensional photoacoustic imaging by sparse-array detection and iterative image reconstruction,” J. Biomed. Opt.13, 054052 (2008).

[CrossRef]
[PubMed]

B. Yin, D. Xing, Y. Wang, Y. Zeng, Y. Tan, and Q. Chen, “Fast photoacoustic imaging system based on 320-element linear transducer array,” Phys. Med. Bio.49, 1339–1346 (2004).

[CrossRef]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

B. E. Treeby and B. T. Cox, “k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields,” J. Biomed. Opt.15, 021314 (2010).

[CrossRef]
[PubMed]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

X. L. Dean-Ben, V. Ntziachristos, and D. Razansky, “Acceleration of Optoacoustic Model-Based Reconstruction Using Angular Image Discretization,” IEEE Trans. Med. Imag.31, 1154–1162 (2012).

[CrossRef]

X. L. Dean-Ben, A. Buehler, V. Ntziachristos, and D. Razansky, “Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography,” IEEE Trans. Med. Imag.31, 1922–1928 (2012).

[CrossRef]

J. Prakash, H. Dehghani, B. W. Pogue, and P. K. Yalavarthy, “Model-Resolution based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging,” IEEE Trans. Med. Imag. 2014 (in press).

[CrossRef]

A. Buehler, A. Rosenthal, T. Jetzfellner, A. Dima, D. Razansky, and V. Ntziachristos, “Model-based optoacoustic inversions with incomplete projection data,” Med. Phys.38, 1694–1704 (2011).

[CrossRef]
[PubMed]

P. Ephrat, L. Keenliside, A. Seabrook, F. S. Prato, and J. J. L. Carson, “Three-dimensional photoacoustic imaging by sparse-array detection and iterative image reconstruction,” J. Biomed. Opt.13, 054052 (2008).

[CrossRef]
[PubMed]

J. A. Fessler and W. L. Rogers, “Spatial resolution properties of penalized- likelihood image reconstruction methods: Space-invariant tomographs,” IEEE Trans. Image Process.5, 1346–1358 (1996).

[CrossRef]

M. Figueiredo, J. Bioucas-Dias, and M. Afonso, “Fast Frame-Based Image Deconvolution Using Variable Splitting and Constrained Optimization,” IEEE Worskhop on Statistical Signal Processing, Cardiff, Wales, 2009.

M. V. Afonso, J. M. Bioucas-Dias, and M. A. T. Figueiredo, “Fast Image Recovery Using Variable Splitting and Constrained Optimization,” IEEE Trans. Image Process.19, 2345–2356 (2010).

[CrossRef]
[PubMed]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

[CrossRef]

Z. Guo, C. H. Li, L. Song, and L. H. V. Wang, “Compressed sensing in photoacoustic tomography in vivo,” J. Biomed. Opt.15, 021311 (2010).

[CrossRef]
[PubMed]

V. E Gusev and A. A Karabutov, Laser Optoacoustics (AIP, 1993).

P. C. Hansen, “Regularization tools version 4.0 for Matlab 7.3,” Numerical Algorithms46, 189–194 (2007).

[CrossRef]

P. C. Hansen, J. G. Nagy, and D. P. O. Leary, Deblurring Images: Matrices, Spectra, and Filtering, 1 (SIAM, Philadelphia, 2006).

[CrossRef]

Y. Hristova, P. Kuchment, and L. V. Nguyen, “Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media,” Inv. Problems24, 055006 (2008).

[CrossRef]

L. H. V. Wang and S. Hu, “Photoacoustic Tomography: In Vivo Imaging from Organelles to Organs,” Science335, 1458–1462, (2012).

[CrossRef]
[PubMed]

C. Huang, K. Wang, L. Nie, L. V. Wang, and M. A. Anastasio, “Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography with Acoustically Inhomogeneous Media,” IEEE Trans. Med. Imag.32, 1097–1110 (2013).

[CrossRef]

B. R. Hunt, “The application of constrained least square estimation to image restoration by digital computer,” IEEE Trans. Comput.C-22, 805–812 (1973).

[CrossRef]

G. Paltauf, J. A. Viator, S. A. Prahl, and S. L. Jacques, “Iterative reconstruction algorithm for optoacoustic imaging,” J. Acous. Soc. Am.112, 1536–1544 (2002).

[CrossRef]

A. Buehler, A. Rosenthal, T. Jetzfellner, A. Dima, D. Razansky, and V. Ntziachristos, “Model-based optoacoustic inversions with incomplete projection data,” Med. Phys.38, 1694–1704 (2011).

[CrossRef]
[PubMed]

J. Prakash, C. B. Shaw, R. Manjappa, R. Kanhirodan, and P. K. Yalavarthy, “Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction,” IEEE J. Sel. Top. Quantum Electron.20, 6800609 (2014).

[CrossRef]

V. E Gusev and A. A Karabutov, Laser Optoacoustics (AIP, 1993).

A. A. Karabutov, E. V. Savateeva, and A. A. Oraevsky, “Optoacoustic tomography: New modality of laser diagnostic systems,” Laser Phys.13, 711–723 (2003).

P. Ephrat, L. Keenliside, A. Seabrook, F. S. Prato, and J. J. L. Carson, “Three-dimensional photoacoustic imaging by sparse-array detection and iterative image reconstruction,” J. Biomed. Opt.13, 054052 (2008).

[CrossRef]
[PubMed]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

M. E. Kilmer and D. P. OLeary, “Choosing regularization parameters in iterative methods for ill-posed problems,” SIAM J. Matrix Anal. Appl.22, 1204–1221 (2001).

[CrossRef]

K. P. Kostli and P. C. Beard, “Two-dimensional photoacoustic imaging by use of Fourier transform image reconstruction and a detector with an anisotropic response,” App. Opt.42, 1899–1908 (2003).

[CrossRef]

M. Pramanik, G. Ku, C. H. Li, and L. H. V. Wang, “Design and evaluation of a novel breast cancer detection system combining both thermoacoustic (TA) and photoacoustic (PA) tomography,” Med. Phys.35, 2218–2223 (2008).

[CrossRef]
[PubMed]

M. A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, and L. H. V. Wang, “Half-time image reconstruction in thermoacoustic tomography,” IEEE Trans. Med. Imag.24, 199–210 (2005).

[CrossRef]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

[CrossRef]

G. Ku and L. H. V. Wang, “Scanning thermoacoustic tomography in biological tissue,” Med. Phys.27, 1195–1202 (2000).

[CrossRef]
[PubMed]

P. Kuchment and L. Kunyansky, “Mathematics of thermoacoustic and photoacoustic tomography,” European J. App. Math.19, 191–224 (2008).

Y. Hristova, P. Kuchment, and L. V. Nguyen, “Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media,” Inv. Problems24, 055006 (2008).

[CrossRef]

P. Kuchment and L. Kunyansky, “Mathematics of thermoacoustic and photoacoustic tomography,” European J. App. Math.19, 191–224 (2008).

P. C. Hansen, J. G. Nagy, and D. P. O. Leary, Deblurring Images: Matrices, Spectra, and Filtering, 1 (SIAM, Philadelphia, 2006).

[CrossRef]

J. Provost and F. Lesage, “The application of compressed sensing for photo-acoustic tomography,” IEEE Trans. Med. Imag.28, 585–594 (2009).

[CrossRef]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

Z. Guo, C. H. Li, L. Song, and L. H. V. Wang, “Compressed sensing in photoacoustic tomography in vivo,” J. Biomed. Opt.15, 021311 (2010).

[CrossRef]
[PubMed]

M. Pramanik, G. Ku, C. H. Li, and L. H. V. Wang, “Design and evaluation of a novel breast cancer detection system combining both thermoacoustic (TA) and photoacoustic (PA) tomography,” Med. Phys.35, 2218–2223 (2008).

[CrossRef]
[PubMed]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

J. Prakash, C. B. Shaw, R. Manjappa, R. Kanhirodan, and P. K. Yalavarthy, “Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction,” IEEE J. Sel. Top. Quantum Electron.20, 6800609 (2014).

[CrossRef]

H. F. Zhang, K. Maslov, G. Stoica, and L. H. V. Wang, “Functional photoacoustic microscopy for high-resolution and noninvasive in vivo imaging,” Nat. Biotech.24, 848–851 (2006).

[CrossRef]

P. C. Hansen, J. G. Nagy, and D. P. O. Leary, Deblurring Images: Matrices, Spectra, and Filtering, 1 (SIAM, Philadelphia, 2006).

[CrossRef]

Y. Hristova, P. Kuchment, and L. V. Nguyen, “Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media,” Inv. Problems24, 055006 (2008).

[CrossRef]

C. Huang, K. Wang, L. Nie, L. V. Wang, and M. A. Anastasio, “Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography with Acoustically Inhomogeneous Media,” IEEE Trans. Med. Imag.32, 1097–1110 (2013).

[CrossRef]

X. L. Dean-Ben, A. Buehler, V. Ntziachristos, and D. Razansky, “Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography,” IEEE Trans. Med. Imag.31, 1922–1928 (2012).

[CrossRef]

X. L. Dean-Ben, V. Ntziachristos, and D. Razansky, “Acceleration of Optoacoustic Model-Based Reconstruction Using Angular Image Discretization,” IEEE Trans. Med. Imag.31, 1154–1162 (2012).

[CrossRef]

A. Buehler, A. Rosenthal, T. Jetzfellner, A. Dima, D. Razansky, and V. Ntziachristos, “Model-based optoacoustic inversions with incomplete projection data,” Med. Phys.38, 1694–1704 (2011).

[CrossRef]
[PubMed]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

[CrossRef]

M. E. Kilmer and D. P. OLeary, “Choosing regularization parameters in iterative methods for ill-posed problems,” SIAM J. Matrix Anal. Appl.22, 1204–1221 (2001).

[CrossRef]

K. Wang, R. Su, A. A. Oraevsky, and M. A. Anastasio, “Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography,” Phys. Med. Bio.57, 5399–5423 (2012).

[CrossRef]

A. A. Karabutov, E. V. Savateeva, and A. A. Oraevsky, “Optoacoustic tomography: New modality of laser diagnostic systems,” Laser Phys.13, 711–723 (2003).

A. De la Zerda, C. Zavaleta, S. Keren, S. Vaithilingam, S. Bodapati, Z. Liu, J. Levi, B. R. Smith, T. J. Ma, O. Oralkan, Z. Cheng, X. Y. Chen, H. J. Dai, B. T. Khuri-Yakub, and S. S. Gambhir, “Carbon nanotubes as photoacoustic molecular imaging agents in living mice,” Nat. Nanotech.3, 557–562 (2008).

[CrossRef]

C. C. Paige and M. A. Saunders, “LSQR: An algorithm for sparse linear equations and sparse least squares,” ACM Trans. Math. Software8, 43–71 (1982).

[CrossRef]

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M. A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, and L. H. V. Wang, “Half-time image reconstruction in thermoacoustic tomography,” IEEE Trans. Med. Imag.24, 199–210 (2005).

[CrossRef]

J. Prakash, H. Dehghani, B. W. Pogue, and P. K. Yalavarthy, “Model-Resolution based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging,” IEEE Trans. Med. Imag. 2014 (in press).

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[CrossRef]

J. Prakash, C. B. Shaw, R. Manjappa, R. Kanhirodan, and P. K. Yalavarthy, “Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction,” IEEE J. Sel. Top. Quantum Electron.20, 6800609 (2014).

[CrossRef]

J. Prakash and P. K. Yalavarthy, “A LSQR-type method provides a computationally efficient automated optimal choice of regularization parameter in diffuse optical tomography,” Med. Phys.40, 033101 (2013).

[CrossRef]
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C. B. Shaw, J. Prakash, M. Pramanik, and P. K. Yalavarthy, “Least Squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography,” J. Biomed. Opt.18, 080501:1–3 (2013).

J. Prakash, H. Dehghani, B. W. Pogue, and P. K. Yalavarthy, “Model-Resolution based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging,” IEEE Trans. Med. Imag. 2014 (in press).

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C. B. Shaw, J. Prakash, M. Pramanik, and P. K. Yalavarthy, “Least Squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography,” J. Biomed. Opt.18, 080501:1–3 (2013).

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[CrossRef]

B. Yin, D. Xing, Y. Wang, Y. Zeng, Y. Tan, and Q. Chen, “Fast photoacoustic imaging system based on 320-element linear transducer array,” Phys. Med. Bio.49, 1339–1346 (2004).

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[CrossRef]

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[CrossRef]
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Z. Guo, C. H. Li, L. Song, and L. H. V. Wang, “Compressed sensing in photoacoustic tomography in vivo,” J. Biomed. Opt.15, 021311 (2010).

[CrossRef]
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M. Pramanik and L. H. V. Wang, “Thermoacoustic and photoacoustic sensing of temperature,” J. Biomed. Opt.14, 054024 (2009).

[CrossRef]
[PubMed]

K. H. Song and L. H. V. Wang, “Noninvasive photoacoustic imaging of the thoracic cavity and the kidney in small and large animals,” Med. Phys.35, 4524–4529 (2008).

[CrossRef]
[PubMed]

M. Pramanik, G. Ku, C. H. Li, and L. H. V. Wang, “Design and evaluation of a novel breast cancer detection system combining both thermoacoustic (TA) and photoacoustic (PA) tomography,” Med. Phys.35, 2218–2223 (2008).

[CrossRef]
[PubMed]

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[CrossRef]

M. A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, and L. H. V. Wang, “Half-time image reconstruction in thermoacoustic tomography,” IEEE Trans. Med. Imag.24, 199–210 (2005).

[CrossRef]

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[CrossRef]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

[CrossRef]

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[CrossRef]
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[CrossRef]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

[CrossRef]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

[CrossRef]

B. Yin, D. Xing, Y. Wang, Y. Zeng, Y. Tan, and Q. Chen, “Fast photoacoustic imaging system based on 320-element linear transducer array,” Phys. Med. Bio.49, 1339–1346 (2004).

[CrossRef]

Y. Wang, X. Y. Xie, X. D. Wang, G. Ku, K. L. Gill, D. P. O’Neal, G. Stoica, and L. H. V. Wang, “Photoacoustic Tomography of a Nanoshell Contrast Agent in the in Vivo Rat Brain,” Nano Lett.4, 1689–1692 (2004).

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B. Yin, D. Xing, Y. Wang, Y. Zeng, Y. Tan, and Q. Chen, “Fast photoacoustic imaging system based on 320-element linear transducer array,” Phys. Med. Bio.49, 1339–1346 (2004).

[CrossRef]

M. Xu and L. H. V. Wang, “Universal back-projection algorithm for photoacoustic computed tomography,” Phys. Review E71, 016706 (2005).

[CrossRef]

J. Prakash, C. B. Shaw, R. Manjappa, R. Kanhirodan, and P. K. Yalavarthy, “Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction,” IEEE J. Sel. Top. Quantum Electron.20, 6800609 (2014).

[CrossRef]

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[CrossRef]
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J. Prakash, H. Dehghani, B. W. Pogue, and P. K. Yalavarthy, “Model-Resolution based Basis Pursuit Deconvolution Improves Diffuse Optical Tomographic Imaging,” IEEE Trans. Med. Imag. 2014 (in press).

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B. Yin, D. Xing, Y. Wang, Y. Zeng, Y. Tan, and Q. Chen, “Fast photoacoustic imaging system based on 320-element linear transducer array,” Phys. Med. Bio.49, 1339–1346 (2004).

[CrossRef]

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[CrossRef]

B. Yin, D. Xing, Y. Wang, Y. Zeng, Y. Tan, and Q. Chen, “Fast photoacoustic imaging system based on 320-element linear transducer array,” Phys. Med. Bio.49, 1339–1346 (2004).

[CrossRef]

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X. L. Dean-Ben, V. Ntziachristos, and D. Razansky, “Acceleration of Optoacoustic Model-Based Reconstruction Using Angular Image Discretization,” IEEE Trans. Med. Imag.31, 1154–1162 (2012).

[CrossRef]

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[CrossRef]

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[CrossRef]

M. A. Anastasio, J. Zhang, X. Pan, Y. Zou, G. Ku, and L. H. V. Wang, “Half-time image reconstruction in thermoacoustic tomography,” IEEE Trans. Med. Imag.24, 199–210 (2005).

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[CrossRef]
[PubMed]

Z. Guo, C. H. Li, L. Song, and L. H. V. Wang, “Compressed sensing in photoacoustic tomography in vivo,” J. Biomed. Opt.15, 021311 (2010).

[CrossRef]
[PubMed]

C. B. Shaw, J. Prakash, M. Pramanik, and P. K. Yalavarthy, “Least Squares QR-based decomposition provides an efficient way of computing optimal regularization parameter in photoacoustic tomography,” J. Biomed. Opt.18, 080501:1–3 (2013).

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[CrossRef]
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[CrossRef]

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