RCAW 2014 Presentations
This semester, many biomedical engineering students presented their research projects at the ECU Research Creative Achievement Week in Mendenhall. Some students presented oral presentations while other presented posters. Below is a summary of what some of these students presented and their experinces .
Senior Megha Sinha:
I did an oral presentation on Automated Assessment of ER, PR, HER-2 Status through Computer-Based Image Analysis. I really enjoyed doing this oral presentation. Being able to communicate both verbally and in written thought is a key aspect of being a research, and RCAW presents a fantastic opportunity for students to practice essential speaking skills.
My presentation was focused on identifying specific characteristics of nano fibers that I created and determine if there was a correlation between these characteristics and different cross-link times of the matts. I discussed the methods I used and interpreted the data recorded to come to the conclusion that the cross-link times had a significant effect on the diameter of the fibers but no significance on the degradation of the mats. It was an excellent opportunity to perform and present research in a professional manner that is usually found in higher school and research institutions. I feel I improved in my oral presentation skills, as well as finding methods for interpreting data.
Sophomore Alex Podolski:
My RCAW presentation was on the predicted impact of disease location on wall shear stress in the lower tibial vessels using computational fluid dynamics. Low wall shear stress is indicative of areas that disease continuation is more likely to occur. In order to determine locations of low wall shear stress, I first created idealized geometry of the lower tibial vessels, including the popliteal artery, the tibioperoneal trunk, the peroneal artery, and the anterior and posterior tibial arteries in GAMBIT. I then modified the original model to simulate disease in three different locations along the popliteal artery. A computational fluid dynamics model representing unsteady flow was developed for each model using FLUENT. One moment during peak systole, and another during diastole were visualized and compared in Tecplot, as shown in Figure 1. Results showed that WSS patterns are generally consistent between models and gradually decreases except on the outer walls of the bifurcation, where there is an increase. The most notable difference between models was during systole. The wall shear stress in downstream vessels was affected by the location of the original disease, with the lowest average in the model with a constriction 8.5mm above bifurcation. In the future, stents will be incorporated into computational fluid dynamics models generated from patient specific data to further understand the downstream effect of peripheral artery disease and treatment.