2020
DOI: 10.1002/aisy.202000109
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Development of a Hybrid Training Simulator for Structural Heart Disease Interventions

Abstract: Percutaneous interventions for structural heart diseases, such as transcatheter aortic valve replacement (TAVR), transcatheter mitral valve repair (TMVr), or left atrial appendage occlusion (LAAO), are rapidly growing and widely available. [1] According to the reports analyzing National Inpatient Sample (NIS) database, there were 40 005 cases of TAVR, 4195 cases of TMVr, and 7550 cases of LAAO in the United States in 2016. [2] Although these catheter-based interventions for structural heart diseases are genera… Show more

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Cited by 5 publications
(7 citation statements)
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“…Despite the limitations listed above, this work provides the primary advantage of developing deep learning models that can be optimized without the tedious task of developing image masks, as typically needed by U-Net models [22]. Furthermore, these models can be used to perform catheter tracking for training purposes for custom 3D-printed heart models [15] or on commercial training systems (Biomodex Inc., Paris, France).…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Despite the limitations listed above, this work provides the primary advantage of developing deep learning models that can be optimized without the tedious task of developing image masks, as typically needed by U-Net models [22]. Furthermore, these models can be used to perform catheter tracking for training purposes for custom 3D-printed heart models [15] or on commercial training systems (Biomodex Inc., Paris, France).…”
Section: Discussionmentioning
confidence: 99%
“…We collected a fluoroscopic image dataset for our custom-made, 3D-printed heart model during a mock procedure in the catheterization lab at NewYork-Presbyterian Hospital. The custom model contained a heart that was transparent under X-ray and a metal spray-painted spine that was visible under X-ray, which is the same as in our previous publication [15]. In addition, some metal spheres were present as fiducial markers, but those were not used in this study.…”
Section: Datasetmentioning
confidence: 99%
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“…This paper delves into the technical challenges required to provide real-time catheter tracking to an extended reality (XR) system with high speed and accuracy. Such capabilities will have applications for various use in percutaneous transcatheter cardiac interventions training 9 , pre-procedural planning, intra-operative guidance 10 , and Telesurgery to enable physicians to remotely maneuver catheters 11 . Conventional training techniques, anchored in uoroscopy-guided observations and hands-on practice, pose challenges such as high costs, radiation exposure, and limited spatial comprehension for trainees [12][13][14] .…”
Section: Introductionmentioning
confidence: 99%