Course Catalog 2006-2007

SGN-3506 INTRODUCTION TO MEDICAL IMAGE PROCESSING, 4 cr
Introduction to Medical Image Processing

Courses persons responsible
Ulla Ruotsalainen

Lecturers
Ulla Ruotsalainen

Lecturetimes and places
Per III: Tuesday 10 - 12, TB216
Per III: Thursday 10 - 12, TB215

Implementations
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - - 4 h/week - - -
Exercise - - 2 h/week - - -
Assignment - - 18 h/per - - -
Exam  
(Timetable for academic year 2006-2007)

Objectives
Kurssin tavoitteena on antaa perustiedot kuvankäsittelymenetelmien kannalta biologisen ja lääketieteellisen kuvantamisen ongelmista opiskelijoille, joilla on perustiedot signaalinkäsittelystä.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Basic principles of the image reconstruction methods in tomography imaging.       
2. Image coregistration for medical use, problems and image fusion techniques.       
3. Structural imaging versus functional imaging in the view of automatic analysis of the image sets.       
4. Archiving of biological and medical images: technical, ethical and legal aspects.       

Requirements for completing the course
To pass the course the student has to make all the computer exercises and pass the exam and make a small assignment.

Evaluation criteria for the course

  • To pass the exam the student has to collect at least half of the maximum points in the exam. The project work or exercises will be defined in the beginning of each course.

  • Used assessment scale is numeric (1-5)

    • Prerequisites
    Code Course Credits M/R
    SGN-1107 SGN-1107 Introductory Signal Processing 4 Mandatory
    SGN-1200 SGN-1200 Signal Processing Methods 4 Mandatory
    SGN-1250 SGN-1250 Signal Processing Applications 4 Recommendable
    SGN-2500 SGN-2500 Introduction to Pattern Recognition 4 Recommendable
    SGN-2506 SGN-2506 Introduction to Pattern Recognition 4 Recommendable
    SGN-3010 SGN-3010 Digital Image Processing I 5 Recommendable
    SGN-3016 SGN-3016 Digital Image Processing I 5 Recommendable

    Prequisite relations (Sign up to TUT Intranet required)

    Additional information about prerequisites
    Either SGN-1107 or SGN-1200 is required.

    Distance learning

  • ITC utilized during the course

    • - In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
    - In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips

    Scaling
    Methods of instructionHours
    Lectures 48
    Exercises 36
    Assignments 18

    Other scaledHours
    Exam/midterm exam 3
    Total sum 105

    Course homepage

    Last modified 25.01.2007
    Modified byUlla Ruotsalainen