Development of a Hybrid Training Simulator for Structural Heart Disease Interventions
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 2000109 |
Journal / Publication | Advanced Intelligent Systems |
Volume | 2 |
Issue number | 12 |
Online published | 1 Oct 2020 |
Publication status | Published - Dec 2020 |
Link(s)
DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(2e2211c0-ca17-4125-bf80-fa9f5264da85).html |
Abstract
To address the expanding needs to acquire the necessary skill sets for managing a wide array of transcatheter interventions, a 3D visualization system that integrates into the training platform would significantly enhance the trainee's capacity to comprehend the spatial relationships of various cardiac structures and facilitate the learning process. In addition to procedural training, the same technology may potentially help formulate treatment strategies in preprocedural planning especially in complex anatomy. Herein, a hybrid simulator for structural heart disease interventions is demonstrated by using the combination of a mixed reality (MR) display and 3D printing. The system consists of a 3D printed phantom heart model, a catheter with real-time tracking using electromagnetic sensors, and the stand-alone MR display for rendering 3D positions of the catheter within the heart model, along with quantitative feedback. The phantom heart model is generated by 3D printing technology using a segmented geometry from a human cardiac computed tomography (CT) scan. The catheter is coupled with electromagnetic sensors that allow real-time tracking of their 3D positions and orientations. Custom software and algorithms to coregister and display the catheter's position relative to the phantom heart model are developed to interface with commercial software provided with the tracking sensors and MR display such that updates occur seamlessly in real time. Prespecified target crossings in the fossa ovalis during a transcatheter septal puncture procedure are demonstrated in the training scene. This hybrid training system will be used for training and educating transcatheter septal puncture procedure and other structural heart interventions.
Research Area(s)
- augmented reality, cardiology, mixed reality, simulator, structural heart disease
Citation Format(s)
Development of a Hybrid Training Simulator for Structural Heart Disease Interventions. / Jang, Sun-Joo; Torabinia, Matin; Dhrif, Hassen et al.
In: Advanced Intelligent Systems, Vol. 2, No. 12, 2000109, 12.2020.
In: Advanced Intelligent Systems, Vol. 2, No. 12, 2000109, 12.2020.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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