Dades generals

Curs acadèmic:
2017
Descripció:
Crèdits:
6

Grups

Grup A

Durada:
Semestral, 1r semestre
Professorat:
RAFAEL GARCIA CAMPOS  / ROBERT MARTI MARLY
Idioma de les classes:
Anglès (100%)

Altres Competències

  • Acquire a good knowledge on image similarity and similarity indexes
  • Acquire a good knowledge on image registration: basic algorithms and task-specific algorithms, at both theoretical and practical levels.
  • Understand, develop and implement different image registration algorithms on the topics of medical imaging using both 2D and 3D images.
  • Be able to quantitatively evaluate algorithms providing clinically and medically relevant measures such as TLE/TRE.
  • Obtain a good knowledge of existing software and libraries for the development of registration algorithms.

Continguts

1. Introduction to Medical Image Registration and Applications

2. Intensity Image Registration. Overview

3. Non-rigid image registration

4. Feature based registration and matching

5. Current trends on medical image registration and fusion

Activitats

Tipus d’activitat Hores amb professor Hores sense professor Total
Anàlisi / estudi de casos 0 12 12
Classes expositives 26 12 38
Classes participatives 6 6 12
Classes pràctiques 32 56 88
Total 64 86 150

Bibliografia

  • Goshtasby, Ardeshir (2012). Image registration : principles, tools and methods. Springer.
  • Modersitzki, Jan (2004). Numerical methods for image registration. Oxford University Pres.
  • Medical image registration (2001). CRC press.
  • Insight into images : principles and practice for segmentation, registration, an (2004). Wellesley : A K Peters.
  • Transactions on Medical Imaging . IEEE.
  • Medical Image Analysis. Elsevier.

Avaluació i qualificació

Activitats d'avaluació:

Descripció de l'activitat Avaluació de l'activitat %
Lab sessions (basics of image registration + Atlas based segmentation + image mosaicking) 40
Final Project: Registration Challenge. Oral presentation and report Oral presentation
Report
Challenge results
40
Exam 30

Qualificació

The evaluation is based on three different activities: 40% from Labs + 40% from the challenge + 30% exam.

Criteris específics de la nota «No Presentat»:
If the student submits some of the activities, he will have a final mark. You will obtain a "no presentat" only if you dont' submit any activity for evaluation.