Full-view photoacoustic tomography using asymmetric distributed sensors optimized with compressed sensing method

2015 ◽  
Vol 21 ◽  
pp. 19-25 ◽  
Author(s):  
Meng Cao ◽  
Jie Yuan ◽  
Sidan Du ◽  
Guan Xu ◽  
Xueding Wang ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Photoacoustic Tomography ◽  
Distributed Sensors ◽  
Full View

scholarly journals NETT regularization for compressed sensing photoacoustic tomography

2019 ◽  
Author(s):  
Markus Haltmeier ◽  
Stephan Antholzer ◽  
Johannes Schwab ◽  
Peter Burgholzer ◽  
Johnnes Bauer-Marschallinger
Keyword(s):  
Compressed Sensing ◽  
Photoacoustic Tomography

scholarly journals Synthetic aperture-based linear-array photoacoustic tomography considering the aperture orientation effect

2018 ◽  
Vol 11 (04) ◽  
pp. 1850015 ◽  
Author(s):  
Xiangwei Lin ◽  
Jaesok Yu ◽  
Naizhang Feng ◽  
Mingjian Sun
Keyword(s):  
Linear Array ◽  
Great Influence ◽  
Image Resolution ◽  
Synthetic Aperture ◽  
Orientation Effect ◽  
Photoacoustic Tomography ◽  
Optimal Detection ◽  
Phantom Experiment ◽  
Full View ◽  
Array Transducer

The synthetic aperture-based linear-array photoacoustic tomography (PAT) was proposed to address the limited-view shortcomings of the single aperture, but the detection field of view (FOV) determined by the aperture orientation effect was not fully considered yet, leading to the limited-view observation and image resolution degradation. Herein, the aperture orientation effect was proposed from the theoretical model and then it was verified via both the numerical simulation and phantom experiment. Different orientations were enumerated sequentially in the simulation to approximate the ideal full-view case for the optimal detection FOV, considering the detection pattern of the linear-array transducer. As a result, the corresponding optimal aperture orientation was 60[Formula: see text] if the synthetic aperture was seamlessly established by three single linear arrays, where the overlapped detection pattern was optimized from the individual linear-array transducer at the adjacent positions. Therefore, the limited-view artifacts were minimized and the image resolution was enhanced in this aperture orientation. This study showed that the aperture orientation had great influence on the optimal detection FOV in the synthetic aperture configuration, where the full-view imaging quality and enhanced image resolution could be achieved.

scholarly journals Accelerated high-resolution photoacoustic tomography via compressed sensing

2016 ◽  
Vol 61 (24) ◽  
pp. 8908-8940 ◽  
Author(s):  
Simon Arridge ◽  
Paul Beard ◽  
Marta Betcke ◽  
Ben Cox ◽  
Nam Huynh ◽  
...  
Keyword(s):  
High Resolution ◽  
Compressed Sensing ◽  
Photoacoustic Tomography

scholarly journals Compressed sensing and sparsity in photoacoustic tomography

2016 ◽  
Vol 18 (11) ◽  
pp. 114004 ◽  
Author(s):  
Markus Haltmeier ◽  
Thomas Berer ◽  
Sunghwan Moon ◽  
Peter Burgholzer
Keyword(s):  
Compressed Sensing ◽  
Photoacoustic Tomography

scholarly journals Operator Learning Approach for the Limited View Problem in Photoacoustic Tomography

2019 ◽  
Vol 19 (4) ◽  
pp. 749-764 ◽  
Author(s):  
Florian Dreier ◽  
Sergiy Pereverzyev Jr ◽  
Markus Haltmeier
Keyword(s):  
Theoretical Analysis ◽  
Initial Pressure ◽  
Photoacoustic Tomography ◽  
Learning Approach ◽  
Reconstruction Formula ◽  
Full View ◽  
Reconstruction Methods ◽  
Approximation Errors ◽  
Boundary Measurements ◽  
Wave Boundary

AbstractIn photoacoustic tomography, one is interested to recover the initial pressure distribution inside a tissue from the corresponding measurements of the induced acoustic wave on the boundary of a region enclosing the tissue. In the limited view problem, the wave boundary measurements are given on the part of the boundary, whereas in the full view problem, the measurements are known on the whole boundary. For the full view problem, there exist various fast and robust reconstruction methods. These methods give severe reconstruction artifacts when they are applied directly to the limited view data. One approach for reducing such artefacts is trying to extend the limited view data to the whole region boundary, and then use existing reconstruction methods for the full view data. In this paper, we propose an operator learning approach for constructing an operator that gives an approximate extension of the limited view data. We consider the behavior of a reconstruction formula on the extended limited view data that is given by our proposed approach. Approximation errors of our approach are analyzed. We also present numerical results with the proposed extension approach supporting our theoretical analysis.

scholarly journals Compressed sensing in photoacoustic tomography with in vivo experiments

2010 ◽  
Author(s):  
Zijian Guo ◽  
Changhui Li ◽  
Liang Song ◽  
Lihong V. Wang
Keyword(s):  
Compressed Sensing ◽  
Photoacoustic Tomography ◽  
In Vivo Experiments
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