Deep neural network-based bandwidth enhancement of photoacoustic data

• Main Authors: Gutta, Sreedevi, Kadimesetty, Venkata Suryanarayana, Kalva, Sandeep Kumar, Pramanik, Manojit, Ganapathy, Sriram, Yalavarthy, Phaneendra K.
• Other Authors: School of Chemical and Biomedical Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Photoacoustic data; Deep neural network
• Online Access: https://hdl.handle.net/10356/86305; http://hdl.handle.net/10220/43993
• Institution: Nanyang Technological University

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 of the reconstructed PA images. A least square based deconvolution method t...