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• W2177843514 abstract "High fidelity optoacoustic (photoacoustic) tomography requires dense spatial sampling of optoacoustic signals using point acoustic detectors. However, in practice, spatial resolution of the images is often limited by limited sampling either due to coarse multi-element arrays or time in raster scan measurements. Herein, we investigate a method that integrates information from multiple optoacoustic images acquired at sub-diffraction steps into one high resolution image by means of an iterative registration algorithm. Experimental validations performed in target phantoms and ex vivo tissue samples confirm that the suggested approach renders significant improvements in terms of optoacoustic image resolution and quality without introducing significant alterations into the signal acquisition hardware or inversion algorithms." @default.
• W2177843514 created "2016-06-24" @default.
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• W2177843514 date "2016-03-01" @default.
• W2177843514 modified "2023-09-24" @default.
• W2177843514 title "Improving Optoacoustic Image Quality via Geometric Pixel Super-Resolution Approach" @default.
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• W2177843514 doi "https://doi.org/10.1109/tmi.2015.2497159" @default.
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• W2177843514 hasPublicationYear "2016" @default.
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