The overarching theme of this program is to train comprehensive imaging scientists in the skills necessary to identify clinically relevant problems. Topics include: developing instrumentation, sensors, and contrast agents to form images appropriate for the problem; and analyzing the resulting imaging data using signal processing, mathematical modeling, visualizations, and informatics techniques to improve the prevention, detection, diagnosis, and treatment of human diseases. View this flyer for more information. If you are interested in applying to this program, contact the BME Graduate Coordinator.
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The basic requirement to complete this portfolio program is 12 hours of coursework (4 courses), which provide the requisite core knowledge for an imaging scientist. Learn more about portfolio programs at The University of Texas at Austin Graduate School.
Required Courses for Portfolio Completion (12 credit hours)
- BME 381J.3 Biomedical Imaging Modalities (3 credit hours)
- Course in Image Processing (3 credit hours)
- Course in Modeling and Visualization (3 credit hours)
- Course in Data Mining and Informatics (3 credit hours)
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The Department of Biomedical Engineering was awarded a Ruth L. Kirschstein National Research Service Award (NRSA)training grant from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), an Institute within the National Institutes of Health (NIH) (T32 EB007507). This This grant includes competitive fellowships to support selected biomedical engineering doctoral students in the Imaging Science and Informatics Portfolio Program. The prestigious one-year fellowship includes a stipend, funds for educational and research supplies, and two semesters of tuition.
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