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

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...

Full description

Bibliographic Details
Main Authors: Hongming Shan, Ge Wang, Yang Yang
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
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

Internet

https://www.mdpi.com/2076-3417/9/13/2615

Similar Items