| X-ray Tomography for Students of Medicine, Biology, Agriculture, Forestry |
Veranstaltungstyp: Vorlesung |
Ort: (SR15, F.00.121 (Fakultät Physik)) |
Semester: SoSe 2024 |
Zeiten: Termine am Mittwoch, 15.05.2024 - Freitag, 17.05.2024 08:00 - 19:00 Erster Termin: Mittwoch, 15.05.2024 08:00 - 19:00, Ort: (SR15, F.00.121 (Fakultät Physik)) |
Veranstaltungsnummer: 534960 |
TeilnehmerInnen: Master students 1.-4. semesters and doctoral students |
Voraussetzungen: Recommended previous knowledge:
Electrodynamics, Matlab/Phyton |
Lernorganisation: Learning outcome, core skills:
Knowledge in:
• basic principles of phase contrast radiography and tomography
• radiation Safety / reconstruction Algorithms
• practical tomographic workflow, instrument operation
• quantitative assessment of image quality
• image segmentation
Taking the course students will be able to :
• run own tomographic scans on pre-aligned instruments
• reconstruct and inspect data based on Matlab toolbox (GUI version)
• perform segmentation |
Leistungsnachweis: Oral examination (approx. 30 minutes)
Examination requirements:
• knowledge about fundaments and workflow
• successful example (tomography scan & reconstruction)
→Ab hier automatisch erfasste Informationen / Beyond this point, the information is filled in automatically←
Prüfungsleistung(en) je Modul / Exam details per module:
* [(M.Phy-NF.7601.Mp) X-ray Tomography for Students of Medicine, Biology, Agriculture, Forestry][1]
* Mündlich: Fr, 17.05.2024
[1]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=40586&periodId=272 |
Sonstiges: Contents: • one week self-study in preparation based on tutorials 3-4 day course with • morning introductory lectures (SR15) • afternoon tomography training in the laboratory • training on established workflow • Matlab-based reconstruction (GUI-guided) • Data inspection and visualisation (Avizo) |
Weitere Informationen aus Stud.IP zu dieser Veranstaltung |
Heimatinstitut: Institut für Röntgenphysik In Stud.IP angemeldete Teilnehmer: 7 Anzahl der Postings im Stud.IP-Forum: 2 |
Link zu Stud.IP 
|