Noise Reduction In Photoacoustic Imaging Using Wavelet Transform

Photoacoustic microscopy (PAM) is a hybrid imaging technique based on the photoacoustic effect and which has begun to develop in recent years. Thanks to the system structure that senses the optical contrast acoustically, it is able to present deep imaging with high resolution beyond the optical diffusion limit. Signals recorded in imaging with the PAM system are exposed to noise by system components and environmental effectcs. In the first stage of the work, a synthetic noise is added at a certain rate on the acoustic signal generated by the solution of the acoustic wave equation. Noisy signals are filtered using discrete wavelet transforms using different main wavelets and noise metrics are calculated on the signals to evaluate the filtering performance. In the second step, the noise metrics are examined on the images by generating the images with the filtered wavelet signals, which are suitable for filtering the PA signals in the direction of the data obtained in the first stage.