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CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording

Obstetric ultrasound (US) training teaches the relationship between foetal anatomy and the viewed US slice to enable navigation to standardised anatomical planes (head, abdomen and femur) where diagnostic measurements are taken. This process is difficult to learn, and results in considerable inter-o...

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Autores principales: Birlo, Manuel, Edwards, Philip J. Eddie, Yoo, Soojeong, Dromey, Brian, Vasconcelos, Francisco, Clarkson, Matthew J., Stoyanov, Danail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860994/
https://www.ncbi.nlm.nih.gov/pubmed/36662104
http://dx.doi.org/10.3390/jimaging9010006
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author Birlo, Manuel
Edwards, Philip J. Eddie
Yoo, Soojeong
Dromey, Brian
Vasconcelos, Francisco
Clarkson, Matthew J.
Stoyanov, Danail
author_facet Birlo, Manuel
Edwards, Philip J. Eddie
Yoo, Soojeong
Dromey, Brian
Vasconcelos, Francisco
Clarkson, Matthew J.
Stoyanov, Danail
author_sort Birlo, Manuel
collection PubMed
description Obstetric ultrasound (US) training teaches the relationship between foetal anatomy and the viewed US slice to enable navigation to standardised anatomical planes (head, abdomen and femur) where diagnostic measurements are taken. This process is difficult to learn, and results in considerable inter-operator variability. We propose the CAL-Tutor system for US training based on a US scanner and phantom, where a model of both the baby and the US slice are displayed to the trainee in its physical location using the HoloLens 2. The intention is that AR guidance will shorten the learning curve for US trainees and improve spatial awareness. In addition to the AR guidance, we also record many data streams to assess user motion and the learning process. The HoloLens 2 provides eye gaze, head and hand position, ARToolkit and NDI Aurora tracking gives the US probe positions and an external camera records the overall scene. These data can provide a rich source for further analysis, such as distinguishing expert from novice motion. We have demonstrated the system in a sample of engineers. Feedback suggests that the system helps novice users navigate the US probe to the standard plane. The data capture is successful and initial data visualisations show that meaningful information about user behaviour can be captured. Initial feedback is encouraging and shows improved user assessment where AR guidance is provided.
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spelling pubmed-98609942023-01-22 CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording Birlo, Manuel Edwards, Philip J. Eddie Yoo, Soojeong Dromey, Brian Vasconcelos, Francisco Clarkson, Matthew J. Stoyanov, Danail J Imaging Article Obstetric ultrasound (US) training teaches the relationship between foetal anatomy and the viewed US slice to enable navigation to standardised anatomical planes (head, abdomen and femur) where diagnostic measurements are taken. This process is difficult to learn, and results in considerable inter-operator variability. We propose the CAL-Tutor system for US training based on a US scanner and phantom, where a model of both the baby and the US slice are displayed to the trainee in its physical location using the HoloLens 2. The intention is that AR guidance will shorten the learning curve for US trainees and improve spatial awareness. In addition to the AR guidance, we also record many data streams to assess user motion and the learning process. The HoloLens 2 provides eye gaze, head and hand position, ARToolkit and NDI Aurora tracking gives the US probe positions and an external camera records the overall scene. These data can provide a rich source for further analysis, such as distinguishing expert from novice motion. We have demonstrated the system in a sample of engineers. Feedback suggests that the system helps novice users navigate the US probe to the standard plane. The data capture is successful and initial data visualisations show that meaningful information about user behaviour can be captured. Initial feedback is encouraging and shows improved user assessment where AR guidance is provided. MDPI 2022-12-29 /pmc/articles/PMC9860994/ /pubmed/36662104 http://dx.doi.org/10.3390/jimaging9010006 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Birlo, Manuel
Edwards, Philip J. Eddie
Yoo, Soojeong
Dromey, Brian
Vasconcelos, Francisco
Clarkson, Matthew J.
Stoyanov, Danail
CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
title CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
title_full CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
title_fullStr CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
title_full_unstemmed CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
title_short CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording
title_sort cal-tutor: a hololens 2 application for training in obstetric sonography and user motion data recording
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860994/
https://www.ncbi.nlm.nih.gov/pubmed/36662104
http://dx.doi.org/10.3390/jimaging9010006
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