Course Description
Introduction to the standard approaches to biomedical image analysis, including basic concepts of biomedical imaging, basic algorithms, principles of software systems, and their applications. Biomedical image analysis software tools will be used in hands-on projects.
Additional Requirements for Graduate Students:
Each student enrolled at the graduate level will be required to
read additional papers on topics not explained in class and
present his/her understandings in class. Also, graduate
students will be asked to answer additional questions on
homework and exams.
Athena Title
Biomedical Image Analysis
Prerequisite
CSCI 2720 or CSCI 2725 or permission of department
Semester Course Offered
Not offered on a regular basis.
Grading System
A - F (Traditional)
Course Objectives
Students will have a clear understanding of basic biomedical image analysis problems and approaches, as well as their applications. Although this course is aimed at graduate/undergraduate students in computer science, graduate/undergraduate students in psychology, neuroscience, cell biology, bioinformatics, and engineering could benefit from this course, and are welcome to attend.
Topical Outline
1. Overview of the course. 2. Basics of biomedical imaging 3. Basic applications of biomedical imaging. 4. Overview of state-of-the-art biomedical image analysis. 5. Basic image analysis techniques for biomedical image analysis. 6. Basics of pre-processing. 7. Basic medical object detection and segmentation 8. Basic medical image registration. 9. Basic shape analysis. 10. Longitudinal measurement. 11. Basics of diffusion tensor imaging and computing. 12. Basic algorithms for biological object segmentation, tracking and pattern classification. 13. Biomedical imaging informatics. 14. Software systems for biomedical image analysis. 15. Trends in biomedical image analysis.
Syllabus