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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-10-01
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| Series: | Healthcare Technology Letters |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0074 |
| _version_ | 1819182409349857280 |
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| author | Gavin Wheeler Shujie Deng Kuberan Pushparajah Julia A. Schnabel John M. Simpson Alberto Gomez |
| author_facet | Gavin Wheeler Shujie Deng Kuberan Pushparajah Julia A. Schnabel John M. Simpson Alberto Gomez |
| author_sort | Gavin Wheeler |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T22:45:40Z |
| format | Article |
| id | doaj.art-59517b0620a3403790ce9efb018dd437 |
| institution | Directory Open Access Journal |
| issn | 2053-3713 |
| language | English |
| last_indexed | 2024-12-22T22:45:40Z |
| publishDate | 2019-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Healthcare Technology Letters |
| spelling | doaj.art-59517b0620a3403790ce9efb018dd4372022-12-21T18:10:05ZengWileyHealthcare Technology Letters2053-37132019-10-0110.1049/htl.2019.0074HTL.2019.0074Virtual linear measurement system for accurate quantification of medical imagesGavin Wheeler0Shujie Deng1Kuberan Pushparajah2Julia A. Schnabel3John M. Simpson4Alberto Gomez5School of Biomedical Engineering & Imaging SciencesSchool of Biomedical Engineering & Imaging SciencesSchool of Biomedical Engineering & Imaging SciencesSchool of Biomedical Engineering & Imaging SciencesSchool of Biomedical Engineering & Imaging SciencesSchool of Biomedical Engineering & Imaging SciencesVirtual 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.https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0074rendering (computer graphics)echocardiographyimage reconstructionmedical image processingvirtual realityvirtual linear measurement systemvirtual realityvolumetric medical imagesclinical image analysis toolvr applicationsunity-based systemlinear measurements3d echocardiographic imagesimage analysis packages3d measurement tools3d volume rendering measurement tools |
| spellingShingle | Gavin Wheeler Shujie Deng Kuberan Pushparajah Julia A. Schnabel John M. Simpson Alberto Gomez Virtual linear measurement system for accurate quantification of medical images Healthcare Technology Letters rendering (computer graphics) echocardiography image reconstruction medical image processing virtual reality virtual linear measurement system virtual reality volumetric medical images clinical image analysis tool vr applications unity-based system linear measurements 3d echocardiographic images image analysis packages 3d measurement tools 3d volume rendering measurement tools |
| 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 | rendering (computer graphics) echocardiography image reconstruction medical image processing virtual reality virtual linear measurement system virtual reality volumetric medical images clinical image analysis tool vr applications unity-based system linear measurements 3d echocardiographic images image analysis packages 3d measurement tools 3d volume rendering measurement tools |
| url | https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0074 |
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