Presenter: Kevin Yang, Physiology and Neurobiology & Computer Science, Global Public Health Scholars
For my practicum, I volunteered at the Johns Hopkins Hospital in Baltimore over the course of the summer of 2019. I worked under Dr. Ye Qiao of the Department of Radiology. She was studying the differences in spatial resolution and clarity of different MRI machines, which is an important detail as there are several manufacturers, each making several different machines. Any
slight differences between the machines can result in diagnostic differences, which could be bad for patients relying on it as well as researchers trying to gain some insight. My task was to analyze images taken by different MRI machines at the same locations in several volunteers to determine the amount of variability between machines.
I have similar questions to Reva's: You wanted to confirm precision of MRI machines but did not get to the point during your time in the practicum. You also noticed challenges with your data set. Do you plan to follow up to see how the research findings turn out? How does this work impact your future goals?
This is a very interesting and intriguing topic! If there are differences between the four machines, what could this mean for the future of medicine and the quality of technology in hospitals?
As someone who has received multiple MRI's I was very intrigued from the moment I read the title. This is a great presentation, and is a very informative introduction. I am very curious to find the results from this. is Dr. Ye Qiao still researching this issue? How did you find such a great volunteer opportunity?
This is a very interesting presentation, Kevin! Were you able to find out the results of the study yet? Additionally, are any of the three types of MRI machines used more affordable or better suited for hard to reach communities (either in the US or elsewhere)? What makes them advantageous for such communities?