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Accelerated image reconstruction using extrapolated Tikhonov filtering for photoacoustic tomography
Purpose: Development of simple and computationally efficient extrapolated Tikhonov filtering reconstruction methods for photoacoustic tomography. Methods: The model-based reconstruction algorithms in photoacoustic tomography ...
Modeling errors compensation with total least squares for limited data photoacoustic tomography
The limited data photoacoustic image reconstruction problem is typically solved using either weighted or ordinary least squares (LS), with regularization term being added for stability, which account only for data imperfections ...
Deep neural network-based bandwidth enhancement of photoacoustic data
Photoacoustic (PA) signals collected at the boundary of tissue are always band-limited. A deep neural network (DNN) was proposed to enhance the bandwidth of the detected PA signal, thereby improving the quantitative accuracy ...