FYSS6430 Röntgen Tomography and Image Analysis (4 cr)

Open the course unit brochure on Sisu
Study level:
Advanced studies
Grading scale:
Pass - fail
Language:
English, Finnish
Responsible organisation:
Department of Physics
Curriculum periods:
2020-2021, 2021-2022, 2022-2023, 2023-2024

Description

  • Structure and operation of X-ray tomographic devices

  • Image reconstruction and artifact reduction

  • Basics of digital image processing, noise removal, segmentation, visualization

  • Image-based measurements and uncertainty analysis

  • Mathematical methods present in the course: (briefly reviewed) Fourier transform, convolution, (to be introduced) Radon transform, (is present) matrix calculus, discrete/numerical differentiation, differential equations, statistical/probability distributions and their estimators. 

Learning outcomes

At the end of this course,

  • students will be able to explain how X-ray tomographic devices function as well as use such devices.

  • Students will be able to perform tomographic reconstruction and analyze three-dimensional images with suitable tools and algorithms.

  • Students will also be able to plan image-based measurements and evaluate uncertainty in the measurements. 

Description of prerequisites

  • The student knows how to use statistical analysis to present data and a computer software meant for numerical calculation (for example MATLAB).

  • Basics of integral and differential calculus, integral transforms and linear algebra 

Study materials

Lecture notes 

Literature

  • Microcomputed tomography – Methodology and Applications, by Stuart R. Stock
  • Digital image processing, by Rafael Gonzalez and Richard E. Woods

Completion methods

Method 1

Evaluation criteria:
Student needs at least 70% of the total evaluation points from the laboratory report, and needs to do at least 50% of the math and image analysis exercises and give a short presentation of the laboratory report.
Time of teaching:
Period 3
Select all marked parts

Method 2

Description:
This completion method is intended for students for whom method 1 is not possible for specific reasons (e.g. language, living elsewhere). Contact the teacher before enrolling to the course via this completion method.
Evaluation criteria:
Grading points, for example, 35% from exercises 65% from lab report. At least 70% of the total points is needed for passing.
Time of teaching:
Period 4
Select all marked parts
Parts of the completion methods
x

Teaching (4 cr)

Type:
Participation in teaching
Grading scale:
Pass - fail
Evaluation criteria:
Student needs at least 70% of the total evaluation points from the laboratory report, and needs to do at least 50% of the math and image analysis exercises and give a short presentation of the laboratory report.
Language:
English, Finnish
Study methods:

Lectures, math and image analysis exercises and practice sessions, laboratory work and short presentation from laboratory report.

Teaching

x

Independent study (4 cr)

Type:
Independent study
Grading scale:
Pass - fail
Evaluation criteria:
Grading points, for example, 35% from exercises 65% from lab report. At least 70% of the total points is needed for passing.
Language:
English, Finnish
Study methods:

Contact appointments, exercises, laboratory work and evaluation discussion of the laboratory report. 

Teaching