Journal
PHOTOACOUSTICS
Volume 22, Issue -, Pages -Publisher
ELSEVIER GMBH
DOI: 10.1016/j.pacs.2021.100270
Keywords
Photoacoustic imaging; Single channel; Deep learning; Delay line
Categories
Funding
- Natural Science Foundation of Shanghai [18ZR1425000]
- National Natural Science Foundation of China [61805139]
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Photoacoustic computed tomography (PACT) combines optical contrast and ultrasound penetrability, with a novel system developed for real-time imaging. This system reduces the number of channels from 120 to 1, utilizing signal superposition and a deep learning model, resulting in improved imaging performance and cost reduction.
Photoacoustic computed tomography (PACT) combines the optical contrast of optical imaging and the penetrability of sonography. In this work, we develop a novel PACT system to provide real-time imaging, which is achieved by a 120-elements ultrasound array only using a single data acquisition (DAQ) channel. To reduce the channel number of DAQ, we superimpose 30 nearby channels' signals together in the analog domain, and shrinking to 4 channels of data (120/30 = 4). Furthermore, a four-to-one delay-line module is designed to combine these four channels' data into one channel before entering the single-channel DAQ, followed by decoupling the signals after data acquisition. To reconstruct the image from four superimposed 30-channels' PA signals, we train a dedicated deep learning model to reconstruct the final PA image. In this paper, we present the preliminary results of phantom and in-vivo experiments, which manifests its robust real-time imaging performance. The significance of this novel PACT system is that it dramatically reduces the cost of multi-channel DAQ module (from 120 channels to 1 channel), paving the way to a portable, low-cost and real-time PACT system.
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