Universität Wien FIND

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300038 UE Virtual images manipulation and segmentation (2019W)

3.00 ECTS (2.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Registration/Deregistration

Details

max. 10 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 14.10. 14:10 - 15:00 Konferenzraum Anthropologie UZA 1, Biozentrum Althanstraße 14, 2.010 1.OG (Kickoff Class)

Information

Aims, contents and method of the course

The course is practical and focuses on tools and procedures for virtual image manipulation of 3D image data sets. In particular, 3D (CT) image data sets - mainly didactic data sets from human anatomical parts like skulls or teeth, will be provided to the participants. The participants will learn how to handle, manipulate and segment 3D images by means of Amira 5.6 (Mercury Computer Systems, Chelmsford, MA). (segmentation is a procedure for the identification and isolation of the various materials represented in the image volume data). The students will learn also other techniques for image data manipulation, such as cropping, flipping, translating, reorienting, producing a surface, fitting a cutting plane, setting landmarks, creating curves. An introduction on some features of the EVAN toolbox (i.e., landmark collection, sliding curve and surface semilandmarks; http://evan-society.org) will be given. Language of instruction: English

Assessment and permitted materials

Attendance: attendance of the course is compulsory. Absences are allowed up to 80% of the total number of hours.
Homework exercises: participants are asked to complete works left unfinished during the class time and are invited to practice in the computer room after the class hours
Practical test: At the end of the course participants must successfully carry out a practical test for completing the course (see section Prüfungsstoff - Englisch). One lesson (usually the one preceding the date of the exam) will be devoted to specifically practice tools and procedures necessary to successfully pass the exam.

Minimum requirements and assessment criteria

Since this is a basic course, no previous knowledge on image data manipulation is required.
Participants are asked to have a capable hard disk to work on, in order to overcome the limitations of the departmental computer facilities.

Examination topics

The participant will be asked to work on a given 3D image data set and to apply tools and procedures as practiced during the course. The files produced should be handed in for evaluation. The performance of the student will be evaluated and assessed in terms of completeness, correctness and accuracy of the performance. The exam is based entirely on the content of the course and is exclusively practical.

Reading list


Association in the course directory

MAN W5, MAN 3

Last modified: Tu 22.09.2020 09:10