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  4. Inexpensive 1024-Channel 3D Telesonography System on FPGA
 
conference paper

Inexpensive 1024-Channel 3D Telesonography System on FPGA

Ibrahim, Aya
•
Doy, Damien  
•
Loureiro, Claudio
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2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS)
IEEE Biomedical Circuits and Systems Conference (BioCAS)

Volumetric ultrasound (US) is a very promising development of medical US imaging. An under-exploited advantage of volumetric US is the mitigation of the strict probe positioning constrains necessary to acquire 2D scans, potentially allowing the decoupling of US image acquisition and diagnosis. However, today’s 3D US systems are large and beset by high power and cost requirements, making them only available in well-equipped hospitals. In this study, we propose the first telesonography-capable medical imaging system that supports up to 1024 channels, on par with the state of the art. As a first embodiment, we have implemented our design in a single development FPGA board of 26.7cm×14cm×0.16cm, with an estimated power consumption of 6.1 W. Moreover, we have equipped our platform with an automatic positioning module to help any operator defining the scan location, hence allowing for better remote diagnosis. Our design supports two types of data inputs: real-time via an optical connection and offline over Ethernet. The reconstructed images can be visualized on an HDMI screen. The estimated cost of the proposed prototype materials is less than 4000e.

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Type
conference paper
DOI
10.1109/BIOCAS.2017.8325108
Author(s)
Ibrahim, Aya
Doy, Damien  
Loureiro, Claudio
Pignat, Elieva
Angiolini, Federico  
Arditi, Marcel  
Thiran, Jean-Philippe  
De Micheli, Giovanni  
Date Issued

2017

Publisher

IEEE

Published in
Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS)
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSI1  
Event nameEvent placeEvent date
IEEE Biomedical Circuits and Systems Conference (BioCAS)

Turin, Italy

October 19-21, 2017

Available on Infoscience
January 9, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/143679
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