Adaptive speed of sound correction with photoacoustic tomography for imaging quality optimization

2016 ◽  
Vol 14 (8) ◽  
pp. 081701-81705
Author(s):  
Meng Ye Meng Ye ◽  
Meng Cao Meng Cao ◽  
Jie Yuan Jie Yuan ◽  
Yudi Chen Yudi Chen ◽  
Qian Cheng Qian Cheng ◽  
...  
Keyword(s):  
Speed Of Sound ◽  
Photoacoustic Tomography ◽  
Quality Optimization ◽  
Imaging Quality

Adaptive multi-sample-based photoacoustic tomography with imaging quality optimization

2015 ◽  
Vol 13 (6) ◽  
pp. 061001-61005 ◽  
Author(s):  
Yuxin Wang Yuxin Wang ◽  
Jie Yuan Jie Yuan ◽  
Sidan Du Sidan Du ◽  
Xiaojun Liu Xiaojun Liu ◽  
Guan Xu Guan Xu ◽  
...  
Keyword(s):  
Photoacoustic Tomography ◽  
Quality Optimization ◽  
Imaging Quality

scholarly journals Speed-of-sound compensated photoacoustic tomography for accurate imaging

2012 ◽  
Vol 39 (12) ◽  
pp. 7262-7271 ◽  
Author(s):  
Jithin Jose ◽  
Rene G. H. Willemink ◽  
Wiendelt Steenbergen ◽  
C. H. Slump ◽  
Ton G. van Leeuwen ◽  
...  
Keyword(s):  
Speed Of Sound ◽  
Photoacoustic Tomography ◽  
Accurate Imaging

Adaptive photoacoustic imaging quality optimization with EMD and reconstruction

2016 ◽  
Author(s):  
Chengwen Guo ◽  
Yao Ding ◽  
Jie Yuan ◽  
Guan Xu ◽  
Xueding Wang ◽  
...  
Keyword(s):  
Photoacoustic Imaging ◽  
Quality Optimization ◽  
Imaging Quality

scholarly journals Full Field Inversion in Photoacoustic Tomography with Variable Sound Speed

2019 ◽  
Vol 9 (8) ◽  
pp. 1563 ◽  
Author(s):  
Gerhard Zangerl ◽  
Markus Haltmeier ◽  
Linh V. Nguyen ◽  
Robert Nuster
Keyword(s):  
Pressure Distribution ◽  
Speed Of Sound ◽  
Sound Speed ◽  
Photoacoustic Tomography ◽  
Reconstruction Method ◽  
Inversion Problem ◽  
Final Time ◽  
Full Field ◽  
Field Detection ◽  
Wave Inversion

To accelerate photoacoustic data acquisition, in [R. Nuster, G. Zangerl, M. Haltmeier, G. Paltauf (2010). Full field detection in photoacoustic tomography. Optics express, 18(6), 6288–6299] a novel measurement and reconstruction approach has been proposed, where the measured data consist of projections of the full 3D acoustic pressure distribution at a certain time instant T. Existing reconstruction algorithms for this kind of setup assume a constant speed of sound. This assumption is not always met in practice and thus can lead to erroneous reconstructions. In this paper, we present a two-step reconstruction method for full field detection photoacoustic tomography that takes variable speed of sound into account. In the first step, by applying the inverse Radon transform, the pressure distribution at the measurement time is reconstructed point-wise from the projection data. In the second step, a final time wave inversion problem is solved where the initial pressure distribution is recovered from the known pressure distribution at time T. We derive an iterative solution approach for the final time wave inversion problem and compute the required adjoint operator. Moreover, as the main result of this paper, we derive its uniqueness and stability. Our numerical results demonstrate that the proposed reconstruction scheme is fast and stable, and that ignoring sound speed variations significantly degrades the reconstruction.

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