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January 15, 2025 · View on GitHub

Jiahong Li a, Zhiyuan Zheng a, Zilong Li a, Yiguang Wang a, Yubin Cao a, Qiegen Liu a,* ,Xianlin Song a,* Establishment of data-domain sharing database for generative artificial intelligence-based photoacoustic tomography

If data from this database are used, please cite the above papers:"Establishment of data-domain sharing database for generative artificial intelligence-based photoacoustic tomography"-https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13248/132480U/Establishment-of-data-domain-sharing-database-for-generative-artificial-intelligence/10.1117/12.3033668.short Date : Dec-6-2024

Traditional reconstruction algorithms use acoustic inversion analytical methods to reconstruct, such as time domain back-projection, time reversal, delayed summation, etc. To obtain high-quality imaging, one can utilize multi-element ultrasound detectors, such as a full-ring detector, spherical detection array, ring detection array, or planar detection array. Of course, this will make the system more complex and more expensive. Therefore, we use a single-probe photoacoustic system, which uses a rotating stage to drive the probe to rotate to different angles to collect photoacoustic signals, and then uses the collected photoacoustic data to reconstruct the image using a back-projection algorithm.

System.

Our system consists of step control module, laser trigger module and data acquisition(DAQ) module. The stepping module consists of a vertical stepping motor and a horizontal rotating stage. The laser trigger module is composed of a laser. During acquisition, the laser pulse triggers DAQ to collect data. The rotating stage rotates every 2° and collects 180 times in one rotation. The sampling frequency of the DAQ is 500MHz and 50,000 points are sampled each time. The rotation radius of the ultrasonic probe is ~7cm. Finally, the collected photoacoustic signals are formed into a sinogram, and the back-projection algorithm is used to reconstruct the sample image. zong

DAQ sampling frequency:500MHz,

Sampling points:50000,

Rotation radius of rotary table~7cm,

360° imaging (scan every 2°, 180 times in total)

Results.

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Fig. 2.Reconstruction results of 180 angles, (a) (d) (g) (j) are black tape samples, (b) (e) (h) (k) are the obtained sinograms, (c) (f) (i) (l) are the back-projection reconstruction results

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