2021
DOI: 10.1016/j.pacs.2021.100258
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Single laser-shot super-resolution photoacoustic tomography with fast sparsity-based reconstruction

Abstract: Recently, -norm based reconstruction approaches have been used with linear array systems to improve photoacoustic resolution and demonstrate undersampled imaging when there is sufficient sparsity in some domain. However, such approaches have yet to beat the half-wavelength resolution limit. In this paper, the ability to beat the half-wavelength diffraction limit is demonstrated using a 5 MHz ring array photoacoustic tomography system and -norm based reconstruction approaches. We use… Show more

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“…For example, an L1-based regularization term in the image domain, i.e., R(p 0 ) p 0 1 , tends to set many voxels to zero (or close to zero) values. This was exploited to enhance the spatial resolution beyond the acoustic diffraction barrier [76,92,93]. TV-based regularization is also commonly used as it enables mitigating noise while preserving sharp edges [52,53,[94][95][96][97][98].…”
Section: The Inverse Problemmentioning
confidence: 99%
“…For example, an L1-based regularization term in the image domain, i.e., R(p 0 ) p 0 1 , tends to set many voxels to zero (or close to zero) values. This was exploited to enhance the spatial resolution beyond the acoustic diffraction barrier [76,92,93]. TV-based regularization is also commonly used as it enables mitigating noise while preserving sharp edges [52,53,[94][95][96][97][98].…”
Section: The Inverse Problemmentioning
confidence: 99%