Overview of the holographic-guided cardiovascular interventions and training – a perspective
-
Klaudia Proniewska
, Agnieszka Pregowska
Abstract
Immersive technologies, like Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR) have undergone technical evolutions over the last few decades. Their rapid development and dynamic changes enable their effective applications in medicine, in fields like imaging, preprocedural planning, treatment, operations planning, medical students training, and active support during therapeutic and rehabilitation procedures. Within this paper, a comprehensive analysis of VR/AR/MR application in the medical industry and education is presented. We overview and discuss our previous experience with AR/MR and 3D visual environment and MR-based imaging systems in cardiology and interventional cardiology. Our research shows that using immersive technologies users can not only visualize the heart and its structure but also obtain quantitative feedback on their location. The MR-based imaging system proposed offers better visualization to interventionists and potentially helps users understand complex operational cases. The results obtained suggest that technology using VR/AR/MR can be successfully used in the teaching process of future doctors, both in aspects related to anatomy and clinical classes. Moreover, the system proposed provides a unique opportunity to break the boundaries, interact in the learning process, and exchange experiences inside the medical community.
Research funding: None declared.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.
Ethical Approval: The conducted research is not related to either human or animal use.
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Research Articles
- Overview of the holographic-guided cardiovascular interventions and training – a perspective
- Development of the low-cost, smartphone-based cardiac auscultation training manikin
- Cooperation of CUDA and Intel multi-core architecture in the independent component analysis algorithm for EEG data
- A distributed cognitive approach in cybernetic modelling of human vision in a robotic swarm
- Thingspeak-based respiratory rate streaming system for essential monitoring purposes
- Recognition of multifont English electronic prescribing based on convolution neural network algorithm
- Short Communication
- BatchDeconvolution: a Fiji plugin for increasing deconvolution workflow
Articles in the same Issue
- Research Articles
- Overview of the holographic-guided cardiovascular interventions and training – a perspective
- Development of the low-cost, smartphone-based cardiac auscultation training manikin
- Cooperation of CUDA and Intel multi-core architecture in the independent component analysis algorithm for EEG data
- A distributed cognitive approach in cybernetic modelling of human vision in a robotic swarm
- Thingspeak-based respiratory rate streaming system for essential monitoring purposes
- Recognition of multifont English electronic prescribing based on convolution neural network algorithm
- Short Communication
- BatchDeconvolution: a Fiji plugin for increasing deconvolution workflow