scholarly journals Investigating the Feasibility of Virtual Reality (VR) for Teaching Cardiac Morphology

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 1889
Author(s):  
Endrit Pajaziti ◽  
Silvia Schievano ◽  
Emilie Sauvage ◽  
Andrew Cook ◽  
Claudio Capelli
Keyword(s):  
Congenital Heart Disease ◽  
Virtual Reality ◽  
Heart Disease ◽  
Congenital Heart ◽  
Ease Of Use ◽  
Patient Specific ◽  
Visual Aids ◽  
Diverse Range ◽  
Cardiac Morphology ◽  
General Response

Congenital heart disease (CHD) is the most common defect at birth. Effective training for clinical professionals is essential in order to provide a high standard of care for patients. Visual aids for teaching complex CHD have remained mostly unchanged in recent years, with traditional methods such as diagrams and specimens still essential for delivering educational content. Diagrams and other 2D visualisations for teaching are in most cases artistic illustrations with no direct relation to true, 3D medical data. Specimens are rare, difficult for students to access and are limited to specific institutions. Digital, patient-specific models could potentially address these problems within educational programmes. Virtual Reality (VR) can facilitate the access to digital models and enhance the educational experience. In this study, we recorded and analysed the sentiment of clinical professionals towards VR when learning about CHD. A VR application (VheaRts) containing a set of patient-specific models was developed in-house. The application was incorporated into a specialised cardiac morphology course to assess the feasibility of integrating such a tool, and to measure levels of acceptance. Attendees were clinical professionals from a diverse range of specialities. VR allowed users to interact with six different patient-derived models immersed within a 3D space. Feedback was recorded for 58 participants. The general response towards the use of VR was overwhelmingly positive, with 88% of attendees rating 4 or 5 for ‘helpfulness of VR in learning CHD’ (5-points Likert scale). Additionally, 70% of participants with no prior VR experience rated 4 or 5 for ‘intuitiveness and ease of use’. Our study indicates that VR has a high level of acceptance amongst clinical trainees when used as an effective aid for learning congenital heart disease. Additionally, we noted three specific use-cases where VR offered novel teaching experiences not possible with conventional methods.

scholarly journals A Virtual Reality System for Improved Image-based Planning of Complex Cardiac Procedures

2021 ◽  
Author(s):  
Shujie Deng ◽  
Gavin Wheeler ◽  
Nicolas Toussaint ◽  
Lindsay Munroe ◽  
Suryava Bhattacharya ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Virtual Reality ◽  
Heart Disease ◽  
Congenital Heart ◽  
Three Dimensional ◽  
Patient Specific ◽  
Two Dimensional ◽  
Virtual Reality System ◽  
Dimensional Echocardiography ◽  
Three Dimensional Echocardiography

The intricate nature of congenital heart disease requires understanding of 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, 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, multi-planar reformatting, flow visualisation, and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation, and multi-user interactions. The available features were evaluated by imaging and non-imaging clinicians, showing that the virtual reality system can help improve understanding and communication of the three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.

scholarly journals A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures

2021 ◽  
Vol 7 (8) ◽  
pp. 151
Author(s):  
Shujie Deng ◽  
Gavin Wheeler ◽  
Nicolas Toussaint ◽  
Lindsay Munroe ◽  
Suryava Bhattacharya ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Virtual Reality ◽  
Heart Disease ◽  
Congenital Heart ◽  
Three Dimensional ◽  
Patient Specific ◽  
Two Dimensional ◽  
Virtual Reality System ◽  
Dimensional Echocardiography ◽  
Three Dimensional Echocardiography

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.

scholarly journals A Virtual Reality System for Improved Image-based Planning of Complex Cardiac Procedures

2021 ◽  
Author(s):  
Shujie Deng ◽  
Gavin Wheeler ◽  
Nicolas Toussaint ◽  
Lindsay Munroe ◽  
Suryava Bhattacharya ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Virtual Reality ◽  
Heart Disease ◽  
Congenital Heart ◽  
Three Dimensional ◽  
Patient Specific ◽  
Two Dimensional ◽  
Virtual Reality System ◽  
Dimensional Echocardiography ◽  
Three Dimensional Echocardiography

The intricate nature of congenital heart disease requires understanding of 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, 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, multi-planar reformatting, flow visualisation, and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation, and multi-user interactions. The available features were evaluated by imaging and non-imaging clinicians, showing that the virtual reality system can help improve understanding and communication of the three-dimensional echocardiography imaging and benefit congenital heart disease treatment.

scholarly journals Decoding Genetics of Congenital Heart Disease Using Patient-Derived Induced Pluripotent Stem Cells (iPSCs)

2021 ◽  
Vol 9 ◽  
Author(s):  
Hui Lin ◽  
Kim L. McBride ◽  
Vidu Garg ◽  
Ming-Tao Zhao
Keyword(s):  
Stem Cells ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Induced Pluripotent Stem Cells ◽  
Genome Sequencing ◽  
Pluripotent Stem Cells ◽  
Congenital Heart ◽  
Model Systems ◽  
Patient Specific ◽  
Induced Pluripotent

Congenital heart disease (CHD) is the most common cause of infant death associated with birth defects. Recent next-generation genome sequencing has uncovered novel genetic etiologies of CHD, from inherited and de novo variants to non-coding genetic variants. The next phase of understanding the genetic contributors of CHD will be the functional illustration and validation of this genome sequencing data in cellular and animal model systems. Human induced pluripotent stem cells (iPSCs) have opened up new horizons to investigate genetic mechanisms of CHD using clinically relevant and patient-specific cardiac cells such as cardiomyocytes, endothelial/endocardial cells, cardiac fibroblasts and vascular smooth muscle cells. Using cutting-edge CRISPR/Cas9 genome editing tools, a given genetic variant can be corrected in diseased iPSCs and introduced to healthy iPSCs to define the pathogenicity of the variant and molecular basis of CHD. In this review, we discuss the recent progress in genetics of CHD deciphered by large-scale genome sequencing and explore how genome-edited patient iPSCs are poised to decode the genetic etiologies of CHD by coupling with single-cell genomics and organoid technologies.

scholarly journals Personalized Three-Dimensional Printed Models in Congenital Heart Disease

2019 ◽  
Vol 8 (4) ◽  
pp. 522 ◽  
Author(s):  
Sun ◽  
Lau ◽  
Wong ◽  
Yeong
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Congenital Heart ◽  
Three Dimensional ◽  
Patient Specific ◽  
Future Research ◽  
Imaging Data ◽  
Doctor Patient Communication ◽  
Medical Education And Training ◽  
3D Printed

Patient-specific three-dimensional (3D) printed models have been increasingly used in cardiology and cardiac surgery, in particular, showing great value in the domain of congenital heart disease (CHD). CHD is characterized by complex cardiac anomalies with disease variations between individuals; thus, it is difficult to obtain comprehensive spatial conceptualization of the cardiac structures based on the current imaging visualizations. 3D printed models derived from patient’s cardiac imaging data overcome this limitation by creating personalized 3D heart models, which not only improve spatial visualization, but also assist preoperative planning and simulation of cardiac procedures, serve as a useful tool in medical education and training, and improve doctor–patient communication. This review article provides an overall view of the clinical applications and usefulness of 3D printed models in CHD. Current limitations and future research directions of 3D printed heart models are highlighted.

scholarly journals P1417 Acceptability of a virtual reality system for examination of congenital heart disease patients

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
G Wheeler ◽  
S Deng ◽  
K Pushparajah ◽  
J A Schnabel ◽  
J M Simpson ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Virtual Reality ◽  
Heart Disease ◽  
Congenital Heart ◽  
Clinical Decision Making ◽  
Training Session ◽  
Image Data ◽  
Clinical Decision ◽  
Anatomical Landmarks ◽  
Brief Training

Abstract Funding Acknowledgements Work supported by the NIHR i4i funded 3D Heart project [II-LA-0716-20001] Background/Introduction Virtual Reality (VR) has recently gained great interest for examining 3D images from congenital heart disease (CHD) patients. Currently, 3D printed models of the heart may be used for particularly complex cases. These have been found to be intuitive and to positively impact clinical decision-making. Although positively received, such printed models must be segmented from the image data, generally only CT/MR may be used, the prints are static, and models do not allow for cropping / slicing or easy manipulation. Our VR system is designed to address these issues, as well as providing a simple interface compared to standard software. Building such a VR system, one with intuitive interaction which is clinically useful, requires studying user acceptance and requirements. Purpose: We evaluate the usability of our VR system can a prototype VR system be easily learned and used by clinicians unfamiliar with VR. Method We tested a VR system which can display 3D echo images and enables the user to interact with them, for instance by translating, rotating and cropping. Our system is tested on a transoesophageal echocardiogram from a patient with aortic valve disease. 13 clinicians evaluated the system including 5 imaging cardiologists, 5 physiologists, 2 surgeons and an interventionist, with their clinical experience ranging from trainee to more than 5 years’ of experience. None had used VR regularly in the past. After a brief training session, they were asked to place three anatomical landmarks and identify a particular cardiac view. They then completed a questionnaire on system ease of learning and image manipulation. Results: Results are shown in the figure below. Learning to use the system was perceived as easy for all but one participant, who rated it as ‘Somewhat difficult’. However, once trained, all users found the system easy to use. Participants found the interaction, where objects in the scene are picked up using the controller and then track the controller’s motion in a 1:1 way, to be particularly easy to learn and use. Conclusion Our VR system was accepted by the vast majority of clinicians, both for ease of learning and use. Intuitiveness and the ability to interact with images in a natural way were highlighted as most useful - suggesting that such a system could become accepted for routine clinical use in the future. Abstract P1417 Figure. VR system evaluation participant feedbac

Patient-specific in vitro models for hemodynamic analysis of congenital heart disease – Additive manufacturing approach

2017 ◽  
Vol 54 ◽  
pp. 111-116 ◽  
Author(s):  
Rafael Medero ◽  
Sylvana García-Rodríguez ◽  
Christopher J. François ◽  
Alejandro Roldán-Alzate
Keyword(s):  
Congenital Heart Disease ◽  
Heart Disease ◽  
Additive Manufacturing ◽  
Congenital Heart ◽  
In Vitro Models ◽  
Patient Specific
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