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The Fabry-Perot (FP) sensor is typically read out by scanning a focused laser beam over the sensor surface and measuring the reflected light. However, the acquisition time can be relatively long when a large number of spatial sampling points are required. An alternative approach is to use widefield illumination and measure the reflected light using a camera. This approach has enabled the acquisition of 3D photoacoustic images composed of 327,000 spatial sampling points in a couple of seconds or less. In this study, we investigate the possibility of further improving imaging speed by combining the widefield illumination approach with the principles of compressed sensing. Preliminary results suggest that current imaging times could be reduced by at least a factor of 4, enabling the acquisition of 3D photoacoustic images in sub-second timeframes.
Thomas J. Allen,Edward Zhang, andPaul C. Beard
"Parallelized interrogation of a Fabry-Perot ultrasound sensor using compressed sensing for fast photoacoustic tomography", Proc. SPIE PC12842, Photons Plus Ultrasound: Imaging and Sensing 2024, PC128420A (13 March 2024); https://doi.org/10.1117/12.3008990
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Thomas J. Allen, Edward Zhang, Paul C. Beard, "Parallelized interrogation of a Fabry-Perot ultrasound sensor using compressed sensing for fast photoacoustic tomography," Proc. SPIE PC12842, Photons Plus Ultrasound: Imaging and Sensing 2024, PC128420A (13 March 2024); https://doi.org/10.1117/12.3008990