References
- Wang LV, Yao J. A practical guide to photoacoustic tomography in the life sciences. Nat Meth. 2016;13(8):627–638.
- Na S, Russin JJ, Lin L, et al. Massively parallel functional photoacoustic computed tomography of the human brain. Nat Biomed Eng. 2021;1–9.
- Ron A, Deán-Ben XL, Gottschalk S, et al. Volumetric optoacoustic imaging unveils high-resolution patterns of acute and cyclic hypoxia in a murine model of breast cancer. Cancer Res. 2019;79(18):4767–4775.
- Prakash J, Kalva SK, Pramanik M, et al. Binary photoacoustic tomography for improved vasculature imaging. J Biomed Opt. 2021;26(8):086004.
- Huang S, Blutke A, Feuchtinger A, et al. Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice. EMBO Mol Med. 2021;13(9):e13490.
- Xu M, Wang LV. Universal back-projection algorithm for photoacoustic computed tomography. Phys Rev E. 2005;71(1):016706.
- Treeby BE, Cox BT. k-wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields. J Biomed Opt. 2010;15(2):021314.
- Burgholzer P, Matt GJ, Haltmeier M, et al. Exact and approximative imaging methods for photoacoustic tomography using an arbitrary detection surface. Phys Rev E. 2007;75(4):046706.
- Deán-Ben XL, Ntziachristos V, Razansky D. Acceleration of optoacoustic model-based 360 reconstruction using angular image discretization. IEEE Trans Med Imag. 2012;31(5):1154–1162.
- Wang K, Su R, Oraevsky AA, et al. Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography. Phys Med Biol. 2012;57(17):5399–5423.
- Prakash R, Badal D, Paul A, et al. Photoacoustic signal simulation using discrete particle approach and its application in tomography. IEEE Trans Ultrason Ferroelectr Freq Control. 2021;68(3):707–717.
- Paul A, Warbal P, Mukherjee A, et al. Exploring polynomial based interpolation schemes for photoacoustic tomographic image reconstruction. Biomed Phys Eng Express. 2021; 8:015019.
- Wang Y, Xing D, Zeng Y, et al. Photoacoustic imaging with deconvolution algorithm. Phys Med Biol. 2004;49(14):3117–3124.
- Warbal P, Prakash R, Pramanik M, et al. Wiener filtering for deblurring of reconstructed images in photoacoustic tomography with finite size apodized transducers. IEEE Region 10 Conference (TENCON); IEEE; 2019. p. 96–101.
- Rajesh NA, Pullagurla H, Pramanik M. Deconvolution-based deblurring of reconstructed images in photoacoustic/thermoacoustic tomography. J Opt Soc Am A. 2013;30(10):1994–2001.
- La Riviere PJ, Zhang J, Anastasio MA. Image reconstruction in optoacoustic tomography for dispersive acoustic media. Opt Lett. 2006;31(6):781–783.
- Deán-Ben XL, Razansky D, Ntziachristos V. The effects of acoustic attenuation in optoacoustic signals. Phys Med Biol. 2011;56(18):6129–6148.
- Treeby BE. Acoustic attenuation compensation in photoacoustic tomography using time-variant filtering. J Biomed Opt. 2013;18(3):036008.
- Li M-L, Tseng Y-C, Cheng C-C. Model-based correction of finite aperture effect in photoacoustic tomography. Opt Express. 2010;18(25):26285–26292.
- Roitner H, Haltmeier M, Nuster R, et al. Deblurring algorithms accounting for the finite detector size in photoacoustic tomography. J Biomed Opt. 2014;19(5):056011.
- Van de Sompel D, Sasportas LS, Jokerst JV, et al. Comparison of deconvolution filters for photoacoustic tomography. PLoS ONE. 2016;11(3):e0152597.
- Pramanik M. Improving tangential resolution with a modified delay-and-sum reconstruction algorithm in photoacoustic and thermoacoustic tomography. J Opt Soc Am A. 2014;31(3):621–627.
- Warbal P, Pramanik M, Saha RK. Impact of sensor apodization on the tangential resolution in photoacoustic tomography. J Opt Soc Am A. 2019;36(2):245–252.
- Wang K, Ermilov SA, Su R, et al. An imaging model incorporating ultrasonic transducer properties for three-dimensional optoacoustic tomography. IEEE Trans Med Imaging. 2010;30(2):203–214.
- Warbal P, Saha RK. In silico evaluation of the effect of sensor directivity on photoacoustic tomography imaging. Optik. 2022;252:168305. in press.
- Chowdhury KB, Prakash J, Karlas A, et al. A synthetic total impulse response characterization method for correction of hand-held optoacoustic images. IEEE Trans Med Imaging. 2020;39(10):3218–3230.
- Shang R, Archibald R, Gelb A, et al. Sparsity-based photoacoustic image reconstruction with a linear array transducer and direct measurement of the forward model. J Biomed Opt. 2018;24(3):031015.
- Huang C, Wang K, Nie L, et al. Full-wave iterative image reconstruction in photoacoustic tomography with acoustically inhomogeneous media. IEEE Trans Med Imaging. 2013;32(6):1097–1110.
- Warbal P, Saha RK. Removal of blurring induced by band-limited transducers and broad laser pulse in photoacoustic tomography. European Conference on Biomedical Optics; Optical Society of America; 2021. p. ES1C-3.
- Okawa S, Hirasawa T, Kushibiki T, et al. Numerical evaluation of linearized image reconstruction based on finite element method for biomedical photoacoustic imaging. Opt Rev. 2013;20(5):442–451.
- Sheu YL, Li PC. Simulations of photoacoustic wave propagation using a finite-difference time-domain method with Berenger's perfectly matched layers. J Opt Soc Am A. 2008;124(6):3471–3480.
- Waters KR, Mobley J, Miller JG. Causality-imposed (Kramers–Kronig) relationships between attenuation and dispersion. IEEE Trans Ultrason Ferroelectr Freq Control. 2005;52(5):822–823.
- Kelly JF, McGough RJ, Meerschaert MM. Analytical time-domain Green's functions for power-law media. J Acoust Soc Am. 2008;124(5):2861–2872.
- Warbal P, Pramanik M, Saha RK. A robust modified delay-and-sum algorithm for photoacoustic tomography imaging with apodized transducers. European Conference on Biomedical Optics, Optical Society of America; 2019 Jun. p. 11077 _38.
- Prakash J, Raju AS, Shaw CB, et al. Basis pursuit deconvolution for improving model-based reconstructed images in photoacoustic tomography. Biomed Opt Express. 2014;5(5):1363–1377.
- Hansen PC. Regularization tools version 4.0 for Matlab 7.3. Numer Algorithms. 2007;46(2):189–194.
- Li C, Yin W, Jiang H, et al. An efficient augmented Lagrangian method with applications to total variation minimization. Comput Optim Appl. 2013;56(3):507–530.
- Song X, Pogue BW, Jiang S, et al. Automated region detection based on the contrast-to-noise ratio in near-infrared tomography. Appl Opt. 2004;43(5):1053–1062.
- Wang Z, Bovik AC, Sheikh HR, et al. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process. 2004;13(4):600–612.
- Seo CH, Yen JT. Sidelobe suppression in ultrasound imaging using dual apodization with cross-correlation. IEEE Trans Ultrason Ferroelectr Freq Control. 2008;55(10):2198–2210.