Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging

Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging

Abstract Background Improving imaging quality is a fundamental problem in ultrasound contrast agent imaging (UCAI) research. Plane wave imaging (PWI) has been deemed as a potential method for UCAI due to its’ high frame rate and low mechanical index. High frame rate can improve the temporal resoluti...

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Bibliographic Details
Main Authors: Meng Dai, Shuying Li, Yuanyuan Wang, Qi Zhang, Jinhua Yu
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BioMedical Engineering OnLine
Subjects:
Microbubble
Ultrasound contrast agent
Radio frequency (RF) signal
U-net
Eigenspace
Ultrasound contrast agent plane wave imaging
Online Access:http://link.springer.com/article/10.1186/s12938-019-0714-6

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http://link.springer.com/article/10.1186/s12938-019-0714-6

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