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Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study

BACKGROUND: Safe and accurate execution of surgeries to date mainly rely on preoperative plans generated based on preoperative imaging. Frequent intraoperative interaction with such patient images during the intervention is needed, which is currently a cumbersome process given that such images are g...

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Autores principales: Esfandiari, Hooman, Troxler, Pascal, Hodel, Sandro, Suter, Daniel, Farshad, Mazda, Fürnstahl, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306028/
https://www.ncbi.nlm.nih.gov/pubmed/35869451
http://dx.doi.org/10.1186/s12891-022-05384-9
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author Esfandiari, Hooman
Troxler, Pascal
Hodel, Sandro
Suter, Daniel
Farshad, Mazda
Fürnstahl, Philipp
author_facet Esfandiari, Hooman
Troxler, Pascal
Hodel, Sandro
Suter, Daniel
Farshad, Mazda
Fürnstahl, Philipp
author_sort Esfandiari, Hooman
collection PubMed
description BACKGROUND: Safe and accurate execution of surgeries to date mainly rely on preoperative plans generated based on preoperative imaging. Frequent intraoperative interaction with such patient images during the intervention is needed, which is currently a cumbersome process given that such images are generally displayed on peripheral two-dimensional (2D) monitors and controlled through interface devices that are outside the sterile filed. This study proposes a new medical image control concept based on a Brain Computer Interface (BCI) that allows for hands-free and direct image manipulation without relying on gesture recognition methods or voice commands. METHOD: A software environment was designed for displaying three-dimensional (3D) patient images onto external monitors, with the functionality of hands-free image manipulation based on the user’s brain signals detected by the BCI device (i.e., visually evoked signals). In a user study, ten orthopedic surgeons completed a series of standardized image manipulation tasks to navigate and locate predefined 3D points in a Computer Tomography (CT) image using the developed interface. Accuracy was assessed as the mean error between the predefined locations (ground truth) and the navigated locations by the surgeons. All surgeons rated the performance and potential intraoperative usability in a standardized survey using a five-point Likert scale (1 = strongly disagree to 5 = strongly agree). RESULTS: When using the developed interface, the mean image control error was 15.51 mm (SD: 9.57). The user's acceptance was rated with a Likert score of 4.07 (SD: 0.96) while the overall impressions of the interface was rated as 3.77 (SD: 1.02) by the users. We observed a significant correlation between the users' overall impression and the calibration score they achieved. CONCLUSIONS: The use of the developed BCI, that allowed for a purely brain-guided medical image control, yielded promising results, and showed its potential for future intraoperative applications. The major limitation to overcome was noted as the interaction delay. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05384-9.
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spelling pubmed-93060282022-07-23 Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study Esfandiari, Hooman Troxler, Pascal Hodel, Sandro Suter, Daniel Farshad, Mazda Fürnstahl, Philipp BMC Musculoskelet Disord Research Article BACKGROUND: Safe and accurate execution of surgeries to date mainly rely on preoperative plans generated based on preoperative imaging. Frequent intraoperative interaction with such patient images during the intervention is needed, which is currently a cumbersome process given that such images are generally displayed on peripheral two-dimensional (2D) monitors and controlled through interface devices that are outside the sterile filed. This study proposes a new medical image control concept based on a Brain Computer Interface (BCI) that allows for hands-free and direct image manipulation without relying on gesture recognition methods or voice commands. METHOD: A software environment was designed for displaying three-dimensional (3D) patient images onto external monitors, with the functionality of hands-free image manipulation based on the user’s brain signals detected by the BCI device (i.e., visually evoked signals). In a user study, ten orthopedic surgeons completed a series of standardized image manipulation tasks to navigate and locate predefined 3D points in a Computer Tomography (CT) image using the developed interface. Accuracy was assessed as the mean error between the predefined locations (ground truth) and the navigated locations by the surgeons. All surgeons rated the performance and potential intraoperative usability in a standardized survey using a five-point Likert scale (1 = strongly disagree to 5 = strongly agree). RESULTS: When using the developed interface, the mean image control error was 15.51 mm (SD: 9.57). The user's acceptance was rated with a Likert score of 4.07 (SD: 0.96) while the overall impressions of the interface was rated as 3.77 (SD: 1.02) by the users. We observed a significant correlation between the users' overall impression and the calibration score they achieved. CONCLUSIONS: The use of the developed BCI, that allowed for a purely brain-guided medical image control, yielded promising results, and showed its potential for future intraoperative applications. The major limitation to overcome was noted as the interaction delay. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05384-9. BioMed Central 2022-07-22 /pmc/articles/PMC9306028/ /pubmed/35869451 http://dx.doi.org/10.1186/s12891-022-05384-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Esfandiari, Hooman
Troxler, Pascal
Hodel, Sandro
Suter, Daniel
Farshad, Mazda
Fürnstahl, Philipp
Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
title Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
title_full Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
title_fullStr Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
title_full_unstemmed Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
title_short Introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
title_sort introducing a brain-computer interface to facilitate intraoperative medical imaging control – a feasibility study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306028/
https://www.ncbi.nlm.nih.gov/pubmed/35869451
http://dx.doi.org/10.1186/s12891-022-05384-9
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