Deep neural network-based bandwidth enhancement of photoacoustic data

• المؤلفون الرئيسيون: Gutta, Sreedevi, Kadimesetty, Venkata Suryanarayana, Kalva, Sandeep Kumar, Pramanik, Manojit, Ganapathy, Sriram, Yalavarthy, Phaneendra K.
• مؤلفون آخرون: School of Chemical and Biomedical Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2017
• الموضوعات: Photoacoustic data; Deep neural network
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/86305; http://hdl.handle.net/10220/43993
• المؤسسة: 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...