T-61.5090 Image analysis in Neuroinformatics (5 ct, L)

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Spring 2007

Old seminars: 2005,2006

Place: Seminar room T4 in T-building
Time: Wednesdays 14 - 16, starting on January 24
Language: English
Credit points: 5
Lecturers:
D.Sc. (Tech) Ricardo Vigário
D.Sc. (Tech) Jaakko Särelä
Web page: http://www.cis.hut.fi/Opinnot/T-61.5090/

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 in here.

Prerequisites

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 background.

Requirements for passing the course

(to be confirmed, according to the course attendance)
To pass the course with 5 credit points, 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 Monday at 14)
  • 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 exercises
• 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.

Welcome.

Ricardo Vigário and Jaakko Särelä