Skip to main content

Yixuan Liu awarded American Heart Association 2-year Predoctoral Fellowship

Posted: 
Liu and Simonetti stand next to an MRI machine
Yixuan Liu (left) and Orlando Simonetti, PhD (right)

Congratulations to Yixuan Liu, a second-year PhD student in the department of Biomedical Engineering who was recently awarded an American Heart Association 2-year Predoctoral Fellowship. Liu specializes in the field of Magnetic Resonance Imaging (MRI) working under the mentorship of Orlando P. Simonetti, PhD., Professor of Internal Medicine and Radiology.

The American Heart Association 2-year Predoctoral Fellowship award was established to enhance the integrated research and clinical training of promising students who are matriculated in pre-doctoral or clinical health professional degree training programs and who intend careers as scientists, physician-scientists or other clinician-scientists, or related careers aimed at improving global cardiovascular health.

With the fellowship Liu will explore the use of low field MRI for interventional and diagnostic imaging. With a background in medical imaging and biomedical engineering, he plans to utilize deep learning to improve interventional cardiovascular magnetic resonance (iCMR), aiming to make imaging faster, higher quality, and eventually provide an alternative to X-ray fluoroscopy for cardiovascular interventions, thereby reducing radiation exposure for patients and medical professionals.

Pre-clinical experiments are already underway at Ohio State, in collaboration with interventional cardiologist Dr. Aimee Armstrong from Nationwide Children’s Hospital. Dr. Simonetti shared, “The low-field MRI system at Ohio State is one of the first in the country and opens up new possibilities for MRI-guided cardiovascular interventions. Many of the catheters and guidewires needed for these procedures can be safely used at low field, while they tend to heat up at higher, conventional MRI field strengths. Yixuan’s development of AI-based image denoising techniques will help to overcome the reduced signal available on the low field MRI scanner.”

Congratulations, Yixuan!