Imperial College London
Portrait Picture

DR BERNHARD KAINZ

Faculty of Engineering, Department of Computing

Reader in Medical Image Computing
 
 
 
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Contact

 

+44 (0)20 7594 8349b.kainz Website CV

 
 
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Location

 

372Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gomez:2022:10.1016/j.softx.2021.100959,
author = {Gomez, A and Zimmer, VA and Wheeler, G and Toussaint, N and Deng, S and Wright, R and Skelton, E and Matthew, J and Kainz, B and Hajnal, J and Schnabel, J},
doi = {10.1016/j.softx.2021.100959},
journal = {SoftwareX},
title = {PRETUS: A plug-in based platform for real-time ultrasound imaging research},
url = {http://dx.doi.org/10.1016/j.softx.2021.100959},
volume = {17},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We present PRETUS — a Plugin-based Real Time UltraSound software platform for live ultrasound image analysis and operator support. The software is lightweight; functionality is brought in via independent plug-ins that can be arranged in sequence. The software allows to capture the real-time stream of ultrasound images from virtually any ultrasound machine, applies computational methods and visualizes the results on-the-fly.Plug-ins can run concurrently without blocking each other. They can be implemented in C++ and Python. A graphical user interface can be implemented for each plug-in, and presented to the user in a compact way. The software is free and open source, and allows for rapid prototyping and testing of real-time ultrasound imaging methods in a manufacturer-agnostic fashion. The software is provided with input, output and processing plug-ins, as well as with tutorials to illustrate how to develop new plug-ins for PRETUS.
AU  - Gomez,A
AU  - Zimmer,VA
AU  - Wheeler,G
AU  - Toussaint,N
AU  - Deng,S
AU  - Wright,R
AU  - Skelton,E
AU  - Matthew,J
AU  - Kainz,B
AU  - Hajnal,J
AU  - Schnabel,J
DO  - 10.1016/j.softx.2021.100959
PY  - 2022///
SN  - 2352-7110
TI  - PRETUS: A plug-in based platform for real-time ultrasound imaging research
T2  - SoftwareX
UR  - http://dx.doi.org/10.1016/j.softx.2021.100959
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000769008600033&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/96835
VL  - 17
ER  -
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