Cardiac PET/MRI data analysis for local myocardial efficiency estimation
Youngho Seo, Professor
UC San Francisco
Applications for Fall 2025 are closed for this project.
Keywords: image processing, image analysis, segmentation, medical imaging, PET, MRI, cardiac efficiency
Myocardial injury causes how the heart muscle consumes energy and converts it to the work required for heart function. This damage could be either localized or global; however, to gain this knowledge, we should compute the local myocardial efficiencies throughout the entire left ventricular myocardium.
Our group has conducted a large animal PET/MRI study that includes novel imaging techniques for mapping oxygen utilization and estimating displacement of myocardial walls in great detail, and developed a novel software platform to perform the efficiency calculations in each segment of myocardium.
Role: Training Opportunity
- Understanding cardiac efficiency using novel imaging data acquired
- Understanding state-of-the-art cardiac imaging using PET and MRI
- Work with real-world data
- Provide the data analysis with supervision of experts
Qualifications: Qualifications: (Required) Some familiarity with programming languages or advanced data processing tools; Some familiarity of medical imaging (Preferred) Some familiarity with research related to cardiac health
Hours: 6-8 hrs
Off-Campus Research Site: Programming work can be done remotely. The project mentor is available to meet online for meetings and discussions. This work is in collaboration with Dr. Mehrzad Tartibi @Delbeat Inc. (PhD in Mechanical Engineering, UC Berkeley)
Related website: http://www.radiology.ucsf.edu/physics
Biological & Health Sciences Engineering, Design & Technologies