@article{db6882f1bd564785ab902f8d852c862e,
title = "PRETUS: A plug-in based platform for real-time ultrasound imaging research",
abstract = "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.",
keywords = "Plug-in based, Real time, Ultrasound imaging",
author = "Alberto Gomez and Zimmer, {Veronika A.} and Gavin Wheeler and Nicolas Toussaint and Shujie Deng and Robert Wright and Emily Skelton and Jackie Matthew and Bernhard Kainz and Jo Hajnal and Julia Schnabel",
note = "Funding Information: This research was funded in part by the Wellcome Trust IEH Award, United Kingdom [102431]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. This work was also supported by the Wellcome/EPSRC Centre for Medical Engineering, United Kingdom [WT203148/Z/16/Z] and by theNational Institute for Health Research (NIHR) Biomedical Research Centre, United Kingdom at Guy's andSt Thomas{\textquoteright} NHS Foundation Trust and King's College London, United Kingdom. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. Funding Information: This research was funded in part by the Wellcome Trust IEH Award, United Kingdom [ 102431 ]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. This work was also supported by the Wellcome/EPSRC Centre for Medical Engineering, United Kingdom [ WT203148/Z/16/Z ] and by the National Institute for Health Research (NIHR) Biomedical Research Centre, United Kingdom at Guy{\textquoteright}s and St Thomas{\textquoteright} NHS Foundation Trust and King{\textquoteright}s College London, United Kingdom . The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. Publisher Copyright: {\textcopyright} 2021",
year = "2022",
month = jan,
doi = "10.1016/j.softx.2021.100959",
language = "English",
volume = "17",
journal = "SoftwareX",
issn = "2352-7110",
publisher = "Elsevier BV",
}