Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction

Comparing Deep Learning Frameworks for Photoacoustic Tomography Image Reconstruction

Conventional reconstruction methods for photoacoustic images are not suitable for the scenario of sparse sensing and geometrical limitation. To overcome these challenges and enhance the quality of reconstruction, several learning-based methods have recently been introduced for photoacoustic tomograp...

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Bibliographic Details
Main Authors: Ko-Tsung Hsu, Steven Guan, Parag V. Chitnis
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Photoacoustics
Subjects:
Convolutional neural network
deep learning
image reconstruction
medical imaging
photoacoustic tomography
sparse sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S221359792100032X

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http://www.sciencedirect.com/science/article/pii/S221359792100032X

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