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13 March 2024 New generation photoacoustic imaging: from benchtop whole-body imagers to wearable sensors
Lei Li
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Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC1285702 (2024) https://doi.org/10.1117/12.3011381
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
We recently have developed a stand-alone single-impulse photoacoustic computed tomography (SIP-PACT) system, which integrates high spatiotemporal resolution, deep penetration, and full-view fidelity, as well as anatomical, dynamic, and functional contrasts. To better reveal detailed features inside the body, we developed a half-time dual-speed-of-sound (dual-sos) universal back-projection algorithm to compensate for the first-order effect of acoustic inhomogeneity. However, the previous dual-sos reconstruction method requires human intervention for reconstruction parameter tuning. Later, we developed a smart reconstruction via machine learning, it can produce almost the same quality images anatomically. By localizing single-dyed droplets, the spatial resolution of SIP-PACT has been improved by six-fold in vivo but compromising the temporal resolution. Deep-learning accelerates the droplet localization process, improving the temporal resolution by almost 20-fold.
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Lei Li "New generation photoacoustic imaging: from benchtop whole-body imagers to wearable sensors", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC1285702 (13 March 2024); https://doi.org/10.1117/12.3011381
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KEYWORDS
Photoacoustic tomography
Image restoration
Algorithm development
Anatomy
Machine learning
Temporal resolution
Reconstruction algorithms
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