300038 UE Virtual images manipulation and segmentation (2023W)
Continuous assessment of course work
Labels
REMOTE
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Th 07.09.2023 14:00 to Th 21.09.2023 18:00
- Deregistration possible until Su 15.10.2023 18:00
Details
max. 12 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The dates of the course will be decided during the Vorbesprechung
Tuesday
10.10.
12:00 - 12:45
Digital
(Kickoff Class)
Tuesday
09.01.
11:00 - 14:00
Digital
Wednesday
10.01.
17:00 - 20:00
Digital
Thursday
11.01.
17:00 - 20:30
Digital
Friday
12.01.
17:00 - 20:30
Digital
Tuesday
16.01.
11:00 - 14:00
Digital
Wednesday
17.01.
17:00 - 20:00
Digital
Thursday
18.01.
17:00 - 20:30
Digital
Friday
19.01.
17:00 - 20:30
Digital
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.
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.
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: Fr 13.10.2023 08:28