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- W3203100590 abstract "As linear array transducers are widely used in clinical ultrasound imaging, photoacoustic tomography (PAT) with linear arrays is similarly suitable for clinical applications. However, due to the limited-view problem, a linear array has limited performance and leads to artifacts and blurring, which has hindered its broader application. There is a need to address the limited-view problem in PAT imaging with linear arrays.We investigate potential approaches for improving PAT reconstruction from linear array, by optimizing the detection geometry and implementing iterative reconstruction.PAT imaging with a single-array, dual-probe configurations in parallel-shape and L-shape, and square-shape configuration are compared in simulations and phantom experiments. An iterative model-based algorithm based on the variance-reduced stochastic gradient descent (VR-SGD) method is implemented. The optimum configuration found in simulation is validated on phantom experiments.PAT imaging with dual-probe detection and VR-SGD algorithm is found to improve the limited-view problem compared to a single probe and provide comparable performance as full-view geometry in simulation. This configuration is validated in experiments where more complete structure is obtained with reduced artifacts compared with a single array.PAT with dual-probe detection and iterative reconstruction is a promising solution to the limited-view problem of linear arrays." @default.
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- W3203100590 date "2021-09-28" @default.
- W3203100590 modified "2023-10-03" @default.
- W3203100590 title "Investigation of photoacoustic tomography reconstruction with a limited view from linear array" @default.
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- W3203100590 doi "https://doi.org/10.1117/1.jbo.26.9.096009" @default.
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