Biomedical imaging has become a critically important approach to understand biomedical systems by allowing direct visualization of complex biomedical processes and interactions. Extraction and quantification of most relevant biomedical information from imaging data is an integral part of biomedical imaging. This course provides an overview of most common biomedical image analysis problems and approaches.
This course introduces advanced approaches to, and applications of, biomedical image analysis, including theories of imaging modalities, algorithms, software systems and applications. Advanced applications of state-of-the-art biomedical image analysis software systems will be emphasized.
Biomedical image analysis is an interdisciplinary research field involving disciplines of computer science, biology, medicine, neuroscience, mathematics, statistics and physics. We welcome students and researchers from different disciplines join this course and participate in our interdisciplinary discussion.
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.
Web Page: http://www.cs.uga.edu/~tliu/
Instructor Office Hours: Wednesday 10-11am, Thursday 2~3 pm, Immediately after the class. Boyd GSRC 420.
Atam Dhawan, Medical Image Analysis, Wiley-IEEE Press (July 14, 2003).
Atam P. Dhawan, H. K. Huang, Dae-shik Kim, Principles and Recent Advances in Medical Imaging and Image Analysis, World Scientific Publishing Company (September 30, 2008).
Jerry Prince and Jonathan Links, Medical Imaging Signals and Systems, Pearson Prentice Hall, 2006.
M. Sonka, V. Hlavac, R. Boyle: Image Processing, Analysis, and Machine Vision, Chapman and Hall 2007, 3rd edition.
Joseph Hajnal, D. J. Hawkes, Derek Hill, Medical Image Registration, CRC
20% Class Participation
30% Final Project
All students are responsible for knowing
the University's policy on academic honesty. All assignments submitted
in this course must be your own unless you have received my permission
to collaborate and have properly acknowledged receiving assistance.
Final project report is the result of the collaboration between 2-3
students. It is the responsibility of the instructor and the TA to uphold
the University's academic honesty policy and report my belief of dishonesty
to the Office of the Vice President for Instruction.