Stent Graft Laser Trimmer Software Optimization and Validation
Student:
Madison Ryder
Mentors:
Dr. J.M.R. Apollo Arquiza, PhD – Arizona State University, SBHSE
Dr. Christopher Buneo, PhD – Arizona State University, SBHSE
Mr. Mathew Dixon – BD
Dr. Vincent Pizziconi, PhD – Arizona State University, SBHSE
YouTube Link:
View the video link below before joining the zoom meeting
Zoom Link:
https://asu.zoom.us/j/2859197287
Abstract
Stents and shunts have become a widely used medical device for a broad range of vascular conditions. There are several different types, including bare metal, drug-eluting, or stent grafts, and there are many conditions that benefit from the implantation of these devices. This project focuses on a stent graft manufactured by BD, which is then laser cut after the PTFE encapsulation. It is important that the laser is cutting within specification on all BD stent grafts to avoid rejected units. This study will consist of optimizing the new laser software and will include the laser parameters for imaging and cut placement, as well as a new measurement feature for outputting stent length. Two different cut patterns will be studied, straight and scalloped, and the optimized imaging value for the laser iteration, erosion, and threshold will be determined first. We will then study cut placement to maximize the percentage of stent lengths that are within specification. The data from the laser will then be compared to caliper data in a study to analyze the accuracy of the laser. Lastly, a study will be conducted to determine if there is PTFE shrinkage over time to allow for the best initial starting length to prevent rejected units. The results from these laser optimization studies will help us to understand different aspects of the laser and stent and will help to reduce production scrap rates.