Development of Computer Vision Techniques for use with a Multi-Camera Panoramic Fluorescence Imaging System for Cardiac Imaging
Jan Christoph, Professor
UC San Francisco
Applications for Spring 2024 are closed for this project.
It is an exciting time in cardiovascular research: the combination of 3D imaging technology, deep learning, numerical modeling and high-performance computing opens doors to novel diagnostic capabilities. Our group develops computational and experimental methods for the imaging of the heart. We produce imaging data using fluorescence imaging, catheter-based electrode mapping and 4D ultrasound imaging, and we combine this data to obtain high-resolution visualizations of heart rhythm disorders for diagnostic purposes. In our laboratory, we develop a panoramic multi-camera fluorescence imaging system for the high-resolution imaging of electrophysiological wave phenomena in intact isolated hearts. The goal of this project is to contribute to the development of and further enhance the imaging system, and to develop computer vision algorithms for the creation and analysis of imaging data. The project’s focus will be to produce three-dimensional reconstructions of the moving heart wall and to simultaneously measure tissue mechanics and action potential wave phenomena. With the data, it will be possible to study the tissue dynamics, which are responsible for the irregular contractions during heart rhythm disorders, and the data will become the basis for the development of novel diagnostic imaging approaches.
Role: The exact work will depend on the experience, availability, interest, and progress of the student. Research in this area is at the intersection of bioengineering, biophysics, physiology, cardiology and computer science. At least 8-12 hours are typically needed to make significant progress. The work will involve developing computer vision and optical techniques, testing imaging configurations, generating data and performing data analysis. Depending on time and interests of the student, the work can have an emphasis on either of these aspects.
Day-to-day supervisor for this project: Shrey Chowdhary, Staff Researcher
Hours: 12 or more hours
Off-Campus Research Site: About 20% on-campus and 80% off-campus work with some days required in the lab for meetings or discussions. The computational work can be conducted either remotely or in the lab whatever is preferred. On-campus work will be at the Cardiovascular Research Institute on UCSF’s Mission Bay Campus. Lab meetings and 1-on-1 meetings will be held on Zoom and Discord.
Related website: http://cardiacvision.ucsf.edu
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