High Resolution Plane Wave Compounding Through Deep Proximal Learning

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

Samenvatting

Ultra-fast ultrasound imaging relies on coherent Plane Wave (PW) compounding to obtain sufficient spatial resolution, and contrast. However, the process of coherent PW compounding incurs a loss in temporal resolution. We propose a Deep Learning (DL) network that achieves high resolution PW compounding using a reduced number of PW transmits. We embed a model based signal processing algorithm in the design of the network, which leads to better performance through the exploitation of the prior information that is now available to the network. Our proposed method outperforms two benchmark networks, yielding approximately an 8.2% improvement in PSNR, over the next best network. Aiming for an additional boost in resolution, we moreover train towards images acquired using higher transmit frequencies.
Originele taal-2Engels
Titel2020 IEEE International Ultrasonics Symposium (IUS)
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's4
ISBN van elektronische versie978-1-7281-5448-0
ISBN van geprinte versie978-1-7281-5449-7
DOI's
StatusGepubliceerd - 2020
Evenement2020 IEEE International Ultrasonics Symposium, IUS 2020 - Las Vegas, Verenigde Staten van Amerika
Duur: 7 sep 202011 sep 2020

Congres

Congres2020 IEEE International Ultrasonics Symposium, IUS 2020
LandVerenigde Staten van Amerika
StadLas Vegas
Periode7/09/2011/09/20

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