T-61.5090 Image analysis in Neuroinformatics (5 ct, L)
Old seminars: 2005
Place: Seminar room T5 in T-building
Time: Tuesdays 12 - 14, starting on January 24
Credit points: 5
D.Sc. (Tech) Ricardo
D.Sc. (Tech) Jaakko Särelä
Seminar course description
The course will follow the book
"Biomedical Image Analysis"
, by Rangaraj M. Rangayyan, 2004 by CRC
Press. Additional information will be taken from, e.g., "Functional
Magnetic Resonance Imaging"
, by S. A. Huettel, A.W. Song and
G. McCarthy, 2004 by Sinauer.
The goal of the seminar is to give an overview of some of the main
biomedical image processing techniques, with clear emphasis to
neuronal data. Topics range from artifact removal and image
enhancement to pattern classification and diagnostic decision.
Depending on the number of students, the course may cover a wider or
shorter version of Rangayyan's book. Its table of contents can be found
You need only the basic knowledge about probability and statistics,
matrix algebra, and algorithms in order to follow the course. Basic
neurophysiology and signal processing knowledge are a welcomed
plus. The first lectures will be used to cover the necessary
Requirements for passing the course
To pass the course with 4 credits, you have to, at least
- Participate actively
- Attend, at least, 70% of the lectures
- During seminar sessions:
- Keep a presentation
of some part of the book (~1 hour)
- Put the transparencies available on the internet in advance
to the lecture (latest on Friday evening)
- Transparencies and any handout should be in Powerpoint or PDF
- Prepare dedicated
illustrations, based on brain image analysis.
- Prepare one home exercise (the book has some) and give its
solution the week after your presentation to be delivered to the
lecturers at the same time as the
transparencies (another exercise is given by the lecturers).
- Serve as an opponent when someone else is giving his/her talk
- Enough correctly solved home
- Each participant should write a brief report of the illustrations (e.g.,
using a 4-6 page article-like structure). This is considered
as the project work of the course.
Ricardo Vigário and Jaakko Särelä
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last updated Tuesday, 16-Jan-2007 15:57:22 EET