An FPGA Implementation of Resource-Optimized Dynamic Digital Beamformer for a Portable Ultrasound Imaging System

Xu, Jingwei; Zheng, Yi; Chirala, Mohan; Almekkaway, Mohamed

doi:10.25046/aj030408

Adv. sci. technol. eng. syst. j.

2018

DOI: 10.25046/aj030408

|View full text |Cite

An FPGA Implementation of Resource-Optimized Dynamic Digital Beamformer for a Portable Ultrasound Imaging System

Jingwei Xu

Yi Zheng

Mohan Chirala

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2023

Publication Types

Select...

Other5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Ultrasound Super Resolution Using Deep Learning Based on Attention Mechanism

Liu,

Almekkawy

2023

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An FPGA Implementation of Resource-Optimized Dynamic Digital Beamformer for a Portable Ultrasound Imaging System

Cited by 5 publications

References 28 publications

Ultrasound Super Resolution Using Deep Learning Based on Attention Mechanism

Ultrasound Super Resolution Using Deep Learning Based on Attention Mechanism

A Substitution of Convolutional Layers by FFT Layers - A Low Computational Cost Version

A Robust Deep Neural Network Approach for Ultrafast Ultrasound Imaging using Single Angle Plane Wave

Contact Info

Product

Resources

About