Laajuus: 3

Aikataulu: 09.09.2019 - 14.10.2019

Kurssin yhteystiedot (koskee tätä kurssikertaa): 

By email at and



Tarkennukset kurssin sisältöön (koskee tätä kurssikertaa): 

Learning Outcomes: The seminar will introduce students to a selected area of the algorithms of computed tomography (CT) reconstruction. The purpose is:

1. to present a review of CT modelling

2. to present the reconstruction algorithms in CT application

3. to find a preference algorithm to solve the corresponding CT problems

Each student will present one selected topic so that they will have competence to work independently on the selected topic

In every seminar talk, there is the author who writes a 2-4 page summary paper about the subject and gives the talk, and an opponent, whose task is to make questions and stimulate discussion after the presentation. Every student is the author for (at least) one talk and the opponent for another talk. The author should send the summary paper to the opponent and to the teachers on the thursday preceding the presentation day. The slides should be sent to the teacher latest on the day preceding the presentation. The opponent prepares at least 2-3 questions about the topic to stimulate discussion after the talk. Normal talk is 20-30 minutes.



Tarkennetut arviointiperusteet ja -menetelmät ja tutustuminen arviointiin (koskee tätä kurssikertaa): 

Grading: pass/fail.


To pass the course, attendance in all of part of seminars is compulsory.

Tarkennettu kuormittavuuslaskelma (koskee tätä kurssikertaa): 

10-12 h contact teaching, 50-60 h independent studies.


Tarkennukset oppimateriaaliin (koskee tätä kurssikertaa): 

1. Kak, Avinash C., Malcolm Slaney, and Ge Wang. "Principles of computerized tomographic imaging." Medical Physics1 (2002): 107-107.

2. Mueller, Jennifer L., and Samuli Siltanen. Linear and nonlinear inverse problems with practical applications. 10. Siam, 2012.

3. The alternating direction method of multipliers (ADMM)

4. Buzug, Thorsten M. "Computed tomography." Springer Handbook of Medical Technology. Springer, Berlin, Heidelberg, 2011. 311-342.

Prerequisites: Basic mathematics and matrix algebra, basic programming skills. Basic knowledge to use Matlab is needed for completing the presentation and homework.

Toteutuksen lisätiedot (koskee tätä kurssikertaa): 

Potential topics of presentations include, but are not limited to:

  • Computed tomography (CT) reconstruction with L1 norm or total variation (TV) norm;
  • Dynamic CT reconstruction via ADMM; (The data can be download from )
  • Various variable splitting methods;

Kurssin aikataulu (koskee tätä kurssikertaa): 

Same as "time and place" section.

Opintojakson kuvaus

Ilmoittautuminen ja lisätiedot