Deep neural network-based sinogram super-resolution and bandwidth enhancement for limited-data photoacoustic tomography
Photoacoustic tomography (PAT) is a noninvasive imaging modality combining the benefits of optical contrast at ultrasonic resolution. Analytical reconstruction algorithms for photoacoustic (PA) signals require a large number of data points for accurate image reconstruction. However, in practical sce...
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Main Authors: | , , , , |
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格式: | Article |
語言: | English |
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2021
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在線閱讀: | https://hdl.handle.net/10356/146551 |
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