Deep neural network-based bandwidth enhancement of photoacoustic data

Deep neural network-based bandwidth enhancement of photoacoustic data

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...

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Bibliographic Details
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: Journal 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

Internet

https://hdl.handle.net/10356/86305
http://hdl.handle.net/10220/43993

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