Investigating bone structure in clinical cohorts: biomedical image processing
Galateia Kazakia, Professor
UC San Francisco, Electrical Engineering and Computer Science
Closed. This professor is continuing with Spring 2024 apprentices on this project; no new apprentices needed for Fall 2024.
Our research group focuses on advanced imaging techniques for the study of musculoskeletal structure and function (for details please see: http://www.radiology.ucsf.edu/research/kazakia). For this project, we will be performing advanced image processing and analysis on high resolution computed tomography (CT) images of the skeleton. These images are being acquired as part of two ongoing studies - one focused on diabetes and a second on HIV. Our preliminary data indicate that bone structure is severely affected in both of these cohorts. This clinically relevant research will be performed in close collaboration with UCSF radiologists and clinicians. A great opportunity for engineering, CS, or pre-med students to gain both image processing and clinical experience.
Role: Specific duties for the URAP student will include interfacing with clinicians and researchers to acquire images and manage image databases, performing image processing and analysis, summarizing data, and disseminating study results. All training will be provided.
Qualifications: The student must be independent, highly motivated and have extreme attention to detail and documentation. We have positions for students with expertise in CS/programming, and for pre-med students.
The lab is situated in the UCSF China Basin campus. The campus is BART accessible. Work schedule is flexible and can be adjusted to accommodate the commute from Berkeley. We are currently working in hybrid mode (2 days in office). This is a great chance to learn about musculoskeletal issues in a clinically important project, while mastering advanced imaging techniques. Ideal for sophomores or juniors since a follow-up summer internship in the lab is possible, as well as continuation to the following school year.
Day-to-day supervisor for this project: Minhao Zhou, Post-Doc
Hours: 9-11 hrs
Off-Campus Research Site: 185 Berry St, Lobby 6, 3rd floor San Francisco, CA 94107
Related website: https://radiology.ucsf.edu/research/labs/musculoskeletal-quantitative-imaging
Related website: https://radiology.ucsf.edu/research/labs/musculoskeletal-quantitative-imaging