Accelerated Correction of Reflection Artifacts by Deep Neural Networks in Photo-Acoustic Tomography

Photo-Acoustic Tomography (PAT) is an emerging non-invasive hybrid modality driven by a constant yearning for superior imaging performance. The image quality, however, hinges on the acoustic reflection, which may compromise the diagnostic performance. To address this challenge, we propose to incorpo...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Hongming Shan, Ge Wang, Yang Yang
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Subjects:	photo-acoustic tomography reflection artifacts deep learning convolutional neural network time reversal Landweber algorithm U-net
Online Access:	https://www.mdpi.com/2076-3417/9/13/2615