CeMSIM Projects
Current Projects
Our aim, in this present proposal, is to overcome these challenges and design, develop, and evaluate, for the first time, a Virtual Colorectal Surgical Trainer (VCoST) for the five open surgical tasks in the COSATS. To achieve our goal, a multidisciplinary research team has been assembled to achieve the following specific aims: (SA1) Develop a VCoST platform.
Studying on the human phonation process helps us understand voice pathologies. We focus on quantitative analysis based on the simulations of vocal fold vibration coupled with the laryngeal flow to study the voice efficiency, sources of sound generation, acoustic behaviors, and vocal fold vibration patterns.
The purpose of the development of Virtual Airway Skill Trainer (VAST) [1] is to provide a safe training environment for clinicians to learn the airway management techniques without risk to actual patients, standardize the process of skill training and allow automatic quantification of performance. The virtual simulator, equipped with visual as well as haptic interfaces provides an immersive environment that enables the users to touch, feel and manipulate virtual anatomies. We use Oculus Rift for immersive visual display to simulate operating room experience. Furthermore, to determine the critical procedural steps in airway procedure and metrics for assessing users’ performance such as operation accuracy and tasks completeness, we have conducted a hierarchical task analysis [2].
This project aims to design, develop and validate a Virtual Endoluminal Surgical Simulator (VESS) that can be used to train endoscopists in Endoscopic Submucosal Dissection (ESD). A virtual reality (VR)-based simulator with visual and haptic feedback for training in colorectal ESD is being developed, which the aim to allow trainees to attain competence in a controlled environment with no risk to patients. In this work, a newly developed application of the virtual simulator that promotes the endoscopists to perform and assess technical skills in ESD is being developed. Training tasks will be built based on physics-based computational models of human anatomy with tumors.