Abstract
According to the physical mechanism of photoacoustic excitation, we demonstrate that the signals detected by a photoacoustic microscopy can be considered as the superposition of a series of pulses with non-negative weight. Based on this factor, we decompose the photoacoustic signals as a series of basis and employ a non-negative constrained least squares criterion to determine their weights. Since the signal components are highly correlated with the basis but noise is not, the process will keep the signal components, but remove the noise and finally enhance the image. Phantom and in vivo animal experiments validate this method.
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