Medical Image Analysis, 6 credits (TBMI02)

Medicinsk bildanalys, 6 hp

Main field of study

Electrical Engineering Biomedical Engineering

Level

Second cycle

Course type

Programme course

Examiner

Hans Knutsson

Director of studies or equivalent

Linda Rattfält

Available for exchange students

Yes
Course offered for Semester Period Timetable module Language Campus VOF
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 2 1 English Linköping v
6CDDD Computer Science and Engineering, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v
6CDDD Computer Science and Engineering, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CDDD Computer Science and Engineering, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CMED 9 (Autumn 2017) 2 1 English Linköping v
6CMED (Biomedical Modelling) 9 (Autumn 2017) 2 1 English Linköping v
6CMED (Biomedical Imaging and Visualization) 9 (Autumn 2017) 2 1 English Linköping o
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v
6MBME Biomedical Engineering, Master's programme 3 (Autumn 2017) 2 1 English Linköping v
6CITE Information Technology, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CITE Information Technology, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Biomedical Engineering) 9 (Autumn 2017) 2 1 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v
6CMJU Computer Science and Software Engineering, M Sc in Engineering 9 (Autumn 2017) 2 1 English Linköping v

Main field of study

Electrical Engineering, Biomedical Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Information Technology, M Sc in Engineering
  • Computer Science and Engineering, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Biomedical Engineering, Master's programme
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Basic Linear Algebra: bases, scalar product, least squares problem, eigenvalue problems. Basic signal processing (corresponding to Linear Systems): sampling, convolution and Fourier transform of one-variable signals. Basic skills in Matlab is recommended.

Intended learning outcomes

The aim of the course is to give profound knowledge of how different medical images, volumes and sequences are generated and analyzed. Focus is especially on techniques and methods related to magnetic resonance tomography (MRT). A central part of the course is devoted to the design of multi dimensional filters and algorithms for the purpose of extracting different types of information from the medical data sets. After the course the student will be able to:

  • Be able to optimize multi dimensional filters with respect to both frequency and spatial requirements.
  • Compute local structure descriptors (Tensors) from image data.
  • Use the local structure description to perform adaptive image enhancement.
  • Describe image segmentation methods as: watershed, levelsets, and region growing. Implement a segmentation algorithm using active contours.
  • Describe transformations and similarity measures for registration/fusion of images. Be able to implement a simple registration.
  • Explain the behavior of multi-dimensional signals in the Fourier domain.
  • In detail tell how the MRI data are sampled in k-space, and how to avoid related sampling problems.

Course content

Medical imaging systems: Physical principles and image reconstruction algorithms for magnetic resonance tomography (MRI), ultrasound and computer tomography (CT). Analysis methods: Multidimensional Fourier analysis, local structure analysis in 2D, 3D and 4D (3D + time), motion/velocity estimation, registration, segmentation using adaptive contours and surfaces. Applications: Image enhancement, image registration, functional magnetic resonance imaging (fMRI).

Teaching and working methods

The course consists of lectures, laboratory exercises and a mini project. Lab exercises and the mini project are done in groups of 2 students. Lab exercises are presented orally at scheduled seminars. The mini project consists of 3 scheduled lab sessions and is presented in a written report. To pass the laboratory work you have to show the working code for the lab instructor, participate
in the lab seminars and present the written mini project report.

Examination

TEN2Written ExaminationU, 3, 4, 54 credits
LAB1Laboratory WorkU, G2 credits

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Multidimensional Signal Analysis, Computer Vision, Medical Imaging , Neural Networks and Learning Systems

Department

Institutionen för medicinsk teknik

Director of Studies or equivalent

Linda Rattfält

Examiner

Hans Knutsson

Course website and other links

Education components

Preliminär schemalagd tid: 48 h
Rekommenderad självstudietid: 112 h

Course literature

Kompendium om MR, registrering och segmentering. A. Eklund, M. Andersson och H. Knutsson. IMT 2010. Utdelat material
Kompendium om MR, registrering och segmentering. A. Eklund, M. Andersson och H. Knutsson. IMT 2010. Utdelat material
TEN2 Written Examination U, 3, 4, 5 4 credits
LAB1 Laboratory Work U, G 2 credits

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. There are no files available for this course.