Virtual linear measurement system for accurate quantification of medical images.

3D echocardiographic images 3D measurement tools 3D volume rendering measurement tools Unity-based system VR applications clinical image analysis tool echocardiography image analysis packages image reconstruction linear measurements medical image processing rendering (computer graphics) virtual linear measurement system virtual reality volumetric medical images

Journal

Healthcare technology letters
ISSN: 2053-3713
Titre abrégé: Healthc Technol Lett
Pays: England
ID NLM: 101646459

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 18 09 2019
accepted: 02 10 2019
entrez: 11 2 2020
pubmed: 11 2 2020
medline: 11 2 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 32038861
doi: 10.1049/htl.2019.0074
pii: HTL.2019.0074
pmc: PMC6952242
doi:

Types de publication

Journal Article

Langues

eng

Pagination

220-225

Subventions

Organisme : Department of Health
ID : II-LA-0716-20001
Pays : United Kingdom

Références

JACC Basic Transl Sci. 2018 Jun 25;3(3):420-430
pubmed: 30062228
J Am Soc Echocardiogr. 2018 Oct;31(10):1158-1160
pubmed: 30093145
Radiology. 2000 Feb;214(2):517-22
pubmed: 10671603
Int J Comput Assist Radiol Surg. 2010 Nov;5(6):633-46
pubmed: 20697830
IEEE Rev Biomed Eng. 2010;3:25-47
pubmed: 22275200
Ultrasound Obstet Gynecol. 2008 Dec;32(7):910-6
pubmed: 18792418
Eur Heart J Cardiovasc Imaging. 2019 Aug 1;20(8):883-888
pubmed: 30534951
Healthc Technol Lett. 2018 Sep 21;5(5):148-153
pubmed: 30800321

Auteurs

Gavin Wheeler (G)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Shujie Deng (S)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Kuberan Pushparajah (K)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Department of Congenital Heart Disease, Evelina London Children's Hospital, London, UK.

Julia A Schnabel (JA)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

John M Simpson (JM)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Department of Congenital Heart Disease, Evelina London Children's Hospital, London, UK.

Alberto Gomez (A)

School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Classifications MeSH