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

Plug-in based Real time Ultrasound imaging

Journal

SoftwareX
ISSN: 2352-7110
Titre abrégé: SoftwareX
Pays: Netherlands
ID NLM: 101660267

Informations de publication

Date de publication:
Jan 2022
Historique:
entrez: 9 1 2023
pubmed: 10 1 2023
medline: 10 1 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36619798
doi: 10.1016/j.softx.2021.100959
pmc: PMC7614027
mid: EMS158114
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100959

Subventions

Organisme : Wellcome Trust
ID : 102431
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203148
Pays : United Kingdom

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:714-717
pubmed: 30440496
Int J Med Robot. 2009 Dec;5(4):423-34
pubmed: 19621334
Comput Biol Med. 2018 Jan 1;92:210-235
pubmed: 29247890
Methods. 2017 Feb 15;115:128-143
pubmed: 27965119
IEEE Trans Med Imaging. 2017 Nov;36(11):2204-2215
pubmed: 28708546
Med Image Anal. 2016 Oct;33:181-186
pubmed: 27344106

Auteurs

Alberto Gomez (A)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Veronika A Zimmer (VA)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.
Department of Informatics, Technical University Munich, Germany.

Gavin Wheeler (G)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Nicolas Toussaint (N)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Shujie Deng (S)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Robert Wright (R)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Emily Skelton (E)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Jackie Matthew (J)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Bernhard Kainz (B)

Department of Computing, Imperial College London, UK.
Friedrich-Alexander-University Erlangen-Nürnberg, Germany.

Jo Hajnal (J)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.

Julia Schnabel (J)

School of Biomedical Engineering & Imaging Sciences, King's College London, UK.
Department of Informatics, Technical University Munich, Germany.
Helmholtz Zentrum München - German Research Center for Environmental Health, Germany.

Classifications MeSH