Abstract
Abstract 3D modeling of anatomical features and medical devices are being used at increasing rates within the medical field. These 3D models allow for a wide variety of uses, such as educational or for medical device optimization. Next steps in such utilization are to perform computational and simulated device deployments within unique human anatomies. Such computational deployments have and will yield new perspectives and understandings relative to how given devices fit within the varied anatomies of varied patient populations. While these simulated device deployments offer many benefits, they are often time consuming to both develop and perform. Here, we present new functionalities to perform computational cardiac device deployments within virtual reality (VR). This functionality offers increased control of where the device is to be deployed, reducing the times required to perform computational device deployments in unique anatomical models.
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