Photoacoustic microscopy with sparse data by convolutional neural networks

Photoacoustic microscopy with sparse data by convolutional neural networks

The point-by-point scanning mechanism of photoacoustic microscopy (PAM) results in low-speed imaging, limiting the application of PAM. In this work, we propose a method to improve the quality of sparse PAM images using convolutional neural networks (CNNs), thereby speeding up image acquisition while...

Full description

Bibliographic Details
Main Authors: Jiasheng Zhou, Da He, Xiaoyu Shang, Zhendong Guo, Sung-Liang Chen, Jiajia Luo
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Photoacoustics
Subjects:
Photoacoustic microscopy
Convolutional neural network
Sparse image
Image enhancement
Online Access:http://www.sciencedirect.com/science/article/pii/S2213597921000045

Internet

http://www.sciencedirect.com/science/article/pii/S2213597921000045

Similar Items