Towards a Low-Cost Monitor-Based Augmented Reality Training Platform for At-Home Ultrasound Skill Development.

augmented reality cross-sectional anatomy medical ultrasound ultrasound education

Journal

Journal of imaging
ISSN: 2313-433X
Titre abrégé: J Imaging
Pays: Switzerland
ID NLM: 101698819

Informations de publication

Date de publication:
09 Nov 2022
Historique:
received: 07 09 2022
revised: 20 10 2022
accepted: 07 11 2022
entrez: 10 11 2022
pubmed: 11 11 2022
medline: 11 11 2022
Statut: epublish

Résumé

Ultrasound education traditionally involves theoretical and practical training on patients or on simulators; however, difficulty accessing training equipment during the COVID-19 pandemic has highlighted the need for home-based training systems. Due to the prohibitive cost of ultrasound probes, few medical students have access to the equipment required for at home training. Our proof of concept study focused on the development and assessment of the technical feasibility and training performance of an at-home training solution to teach the basics of interpreting and generating ultrasound data. The training solution relies on monitor-based augmented reality for displaying virtual content and requires only a marker printed on paper and a computer with webcam. With input webcam video, we performed body pose estimation to track the student's limbs and used surface tracking of printed fiducials to track the position of a simulated ultrasound probe. The novelty of our work is in its combination of printed markers with marker-free body pose tracking. In a small user study, four ultrasound lecturers evaluated the training quality with a questionnaire and indicated the potential of our system. The strength of our method is that it allows students to learn the manipulation of an ultrasound probe through the simulated probe combined with the tracking system and to learn how to read ultrasounds in B-mode and Doppler mode.

Identifiants

pubmed: 36354878
pii: jimaging8110305
doi: 10.3390/jimaging8110305
pmc: PMC9698513
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Horizon 2020 programme of the European Union
ID : Grant number 814158 "Appearance Printing - European Advanced Research School" (ApPEARS)

Références

Ultrasound Int Open. 2016 Mar;2(1):E2-7
pubmed: 27689163
JMIR Med Educ. 2021 Nov 1;7(4):e31132
pubmed: 34723818
West J Emerg Med. 2007 Aug;8(3):84-7
pubmed: 19561689
J Cardiothorac Vasc Anesth. 2018 Jun;32(3):1363-1367
pubmed: 29452879
J Ultrasound Med. 2016 Apr;35(4):819-22
pubmed: 26939600
Prospects (Paris). 2020;49(1-2):91-96
pubmed: 32313309
Acta Cir Bras. 2014 Feb;29(2):132-44
pubmed: 24604318

Auteurs

Marine Y Shao (MY)

Centre For Print Research, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK.

Tamara Vagg (T)

Cork Centre for Cystic Fibrosis (3CF), Cork University Hospital & HRB Clinical Research Facility Cork, University College Cork & School of Computer Science and Information Technology, University College Cork, T12 XF62 Cork, Ireland.

Matthias Seibold (M)

Computer Aided Medical Procedures (CAMP), Technical University of Munich, 85748 Munich, Germany.
Research in Orthopedic Computer Science (ROCS), University Hospital Balgrist, University of Zurich, 8008 Zurich, Switzerland.

Mitchell Doughty (M)

Department of Medical Biophysics, University of Toronto, Toronto, ON M5S 1A1, Canada.

Classifications MeSH