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Found 3 papers, 1 papers with code
Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imaging
This framework achieved a root mean square error of 10. 2 m/s and 15. 2 m/s for SoS estimation on digital and physical phantoms, respectively and structural similarity index measures of up to 0. 86 for PA reconstructions as compared to the conventional approach of 0. 69.
Spatiotemporal singular value decomposition for denoising in photoacoustic imaging with low-energy excitation light source
However, PA signals generated with these light sources are readily degraded by noise due to the low optical fluence, leading to decreased signal-to-noise ratio (SNR) in PA images.
Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets
Photoacoustic imaging has shown great potential for guiding minimally invasive procedures by accurate identification of critical tissue targets and invasive medical devices (such as metallic needles).
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