Cargando…

Virtual linear measurement system for accurate quantification of medical images

Virtual reality (VR) has the potential to aid in the understanding of complex volumetric medical images, by providing an immersive and intuitive experience accessible to both experts and non-imaging specialists. A key feature of any clinical image analysis tool is measurement of clinically relevant...

Descripción completa

Detalles Bibliográficos
Autores principales: Wheeler, Gavin, Deng, Shujie, Pushparajah, Kuberan, Schnabel, Julia A., Simpson, John M., Gomez, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952242/
https://www.ncbi.nlm.nih.gov/pubmed/32038861
http://dx.doi.org/10.1049/htl.2019.0074
_version_ 1783486408835465216
author Wheeler, Gavin
Deng, Shujie
Pushparajah, Kuberan
Schnabel, Julia A.
Simpson, John M.
Gomez, Alberto
author_facet Wheeler, Gavin
Deng, Shujie
Pushparajah, Kuberan
Schnabel, Julia A.
Simpson, John M.
Gomez, Alberto
author_sort Wheeler, Gavin
collection PubMed
description Virtual reality (VR) has the potential to aid in the understanding of complex volumetric medical images, by providing an immersive and intuitive experience accessible to both experts and non-imaging specialists. A key feature of any clinical image analysis tool is measurement of clinically relevant anatomical structures. However, this feature has been largely neglected in VR applications. The authors propose a Unity-based system to carry out linear measurements on three-dimensional (3D), purposefully designed for the measurement of 3D echocardiographic images. The proposed system is compared to commercially available, widely used image analysis packages that feature both 2D (multi-planar reconstruction) and 3D (volume rendering) measurement tools. The results indicate that the proposed system provides statistically equivalent measurements compared to the reference 2D system, while being more accurate than the commercial 3D system.
format Online
Article
Text
id pubmed-6952242
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher The Institution of Engineering and Technology
record_format MEDLINE/PubMed
spelling pubmed-69522422020-02-07 Virtual linear measurement system for accurate quantification of medical images Wheeler, Gavin Deng, Shujie Pushparajah, Kuberan Schnabel, Julia A. Simpson, John M. Gomez, Alberto Healthc Technol Lett Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions Virtual reality (VR) has the potential to aid in the understanding of complex volumetric medical images, by providing an immersive and intuitive experience accessible to both experts and non-imaging specialists. A key feature of any clinical image analysis tool is measurement of clinically relevant anatomical structures. However, this feature has been largely neglected in VR applications. The authors propose a Unity-based system to carry out linear measurements on three-dimensional (3D), purposefully designed for the measurement of 3D echocardiographic images. The proposed system is compared to commercially available, widely used image analysis packages that feature both 2D (multi-planar reconstruction) and 3D (volume rendering) measurement tools. The results indicate that the proposed system provides statistically equivalent measurements compared to the reference 2D system, while being more accurate than the commercial 3D system. The Institution of Engineering and Technology 2019-12-02 /pmc/articles/PMC6952242/ /pubmed/32038861 http://dx.doi.org/10.1049/htl.2019.0074 Text en http://creativecommons.org/licenses/by/3.0/ This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
spellingShingle Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
Wheeler, Gavin
Deng, Shujie
Pushparajah, Kuberan
Schnabel, Julia A.
Simpson, John M.
Gomez, Alberto
Virtual linear measurement system for accurate quantification of medical images
title Virtual linear measurement system for accurate quantification of medical images
title_full Virtual linear measurement system for accurate quantification of medical images
title_fullStr Virtual linear measurement system for accurate quantification of medical images
title_full_unstemmed Virtual linear measurement system for accurate quantification of medical images
title_short Virtual linear measurement system for accurate quantification of medical images
title_sort virtual linear measurement system for accurate quantification of medical images
topic Special Issue: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952242/
https://www.ncbi.nlm.nih.gov/pubmed/32038861
http://dx.doi.org/10.1049/htl.2019.0074
work_keys_str_mv AT wheelergavin virtuallinearmeasurementsystemforaccuratequantificationofmedicalimages
AT dengshujie virtuallinearmeasurementsystemforaccuratequantificationofmedicalimages
AT pushparajahkuberan virtuallinearmeasurementsystemforaccuratequantificationofmedicalimages
AT schnabeljuliaa virtuallinearmeasurementsystemforaccuratequantificationofmedicalimages
AT simpsonjohnm virtuallinearmeasurementsystemforaccuratequantificationofmedicalimages
AT gomezalberto virtuallinearmeasurementsystemforaccuratequantificationofmedicalimages