A virtual reality system for improved image-based planning of complex cardiac procedures

Shujie Deng, Gavin Wheeler, Nicolas Toussaint, Lindsay Munroe, Suryava Bhattacharya, Gina Sajith, Ei Lin, Eeshar Singh, Ka Yee Kelly Chu, Saleha Kabir, Kuberan Pushparajah, John M. Simpson, Julia A. Schnabel, Alberto Gomez*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The intricate nature of congenital heart disease requires understanding of the complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens, and therefore, display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, the control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper, we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography, which enables fast prototyping for visualisation such as volume rendering, multiplanar reformatting, flow visualisation and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation and multiuser interactions. The available features were evaluated by imaging and nonimaging clinicians, showing that the virtual reality system can help improve the understanding and communication of three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.

Original languageEnglish
Article number151
JournalJournal of Imaging
Volume7
Issue number8
DOIs
Publication statusPublished - Aug 2021
Externally publishedYes

Bibliographical note

Funding Information:
Funding: This work was supported by the National Institute for Health Research (NIHR) i4i-funded 3D Heart project (II-LA-0716-20001). S.B. and L.M. would like to acknowledge funding from the EPSRC Centre for Doctoral Training in Smart Medical Imaging (EP/S022104/1). This work was also supported by the Wellcome/EPSRC Centre for Medical Engineering (WT 203148/Z/16/Z). The research was funded/supported by the NIHR Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London and supported by the NIHR Clinical Research Facility (CRF) at Guy’s and St Thomas. The views expressed are those of the author(s) and not necessarily those of the National Health Service, the NIHR, nor the Department of Health.

Funding Information:
This work was supported by the National Institute for Health Research (NIHR) i4i-funded 3D Heart project (II-LA-0716-20001). S.B. and L.M. would like to acknowledge funding from the EPSRC Centre for Doctoral Training in Smart Medical Imaging (EP/S022104/1). This work was also supported by the Wellcome/EPSRC Centre for Medical Engineering (WT 203148/Z/16/Z). The research was funded/supported by the NIHR Biomedical Research Centre based at Guy?s and St Thomas? NHS Foundation Trust and King?s College London and supported by the NIHR Clinical Research Facility (CRF) at Guy?s and St Thomas. The views expressed are those of the author(s) and not necessarily those of the National Health Service, the NIHR, nor the Department of Health. The authors would like to thank Marusela Oliveras for her contribution to project management and IP protection; Angharad Davies for her contribution to model design; Adelaide de Vecchi for her advice on CFD simulations; Alice Taylor-Gee and her team for her support with public engagement activities; Jo Adamou for contributing to our developments from a patient?s perspective; and David Hawkes and David Anderson for providing insight and advice from within the research steering group.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Echocardiography
  • Pre-operative imaging
  • Virtual reality

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