Deep learning improves contrast in low-fluence photoacoustic imaging
Published in Biomedical optics express, 2020
Recommended citation: Hariri, A., Alipour, K., Mantri, Y., Schulze, J. P., & Jokerst, J. V. (2020). Deep learning improves contrast in low-fluence photoacoustic imaging. Biomedical optics express, 11(6), 3360-3373. https://opg.optica.org/DirectPDFAccess/21EB20FE-AFEF-45DD-B143A1B1EBE3ECFC_432226/boe-11-6-3360.pdf?da=1&id=432226&seq=0&mobile=no
This paper proposes a denoising method using a multi-level wavelet-convolutional neural network to map low fluence illumination source images to its corresponding high fluence excitation map.