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Gomez, A.* ; Zimmer, V.A.* ; Wheeler, G.* ; Toussaint, N.* ; Deng, S.* ; Wright, R.* ; Skelton, E.* ; Matthew, J.* ; Kainz, B.* ; Hajnal, J.* ; Schnabel, J.A.

PRETUS: A plug-in based platform for real-time ultrasound imaging research.

SoftwareX 17:100959 (2022)
Postprint Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Plug-in Based ; Real Time ; Ultrasound Imaging
ISSN (print) / ISBN 2352-7110
e-ISSN 2352-7110
Zeitschrift SoftwareX
Quellenangaben Band: 17, Heft: , Seiten: , Artikelnummer: 100959 Supplement: ,
Verlag Elsevier
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)
Förderungen National Institute for Health Research (NIHR) Biomedical Research Centre, United Kingdom at Guy's andSt Thomas' NHS Foundation Trust and King's College London, United Kingdom
Wellcome/EPSRC Centre for Medical Engineering, United Kingdom
Wellcome Trust IEH Award, United Kingdom