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Projekt Flat-Panel CT Reconstruction (ProjFCR)- Dozentinnen/Dozenten
- Prof. Dr.-Ing. habil. Andreas Maier, Prof. Rebecca Fahrig, Ph.D.
- Angaben
- Praktikum
, ECTS-Studium, ECTS-Credits: 10, Sprache Deutsch oder Englisch
Zeit und Ort: Di 10:00 - 12:00, 0.01-142
- Studienfächer / Studienrichtungen
- WPF INF-MA ab 1
WPF MT-MA ab 3
- Voraussetzungen / Organisatorisches
- No Registration is required. If you are interested in participating, simply come to the Huber-CIP 0.01-142 for the first meeting on Tue, April 10, 2018.
Für diesen Kurs ist keine Anmeldung erforderlich, bei Interesse bitte einfach zum ersten Termin am Dienstag, den 10.04.2018, in den Huber-CIP 0.01-142 kommen.
- Inhalt
- The aim of this master project is to build a state-of-the-art flat-panel CT reconstruction software.
The project is designed in two parts.
In the first part, the basics of CT reconstruction will be
developed in a group.
All participants will
create a basic CT reconstruction pipeline that is able to reconstruct flat-panel CT images.
The following topics will be taught and implemented in this course:
In the second part, the participants will be asked to adopt the designed pipeline individually to specific problems in CT reconstruction:
You will incorporate your work into a fully-fledged CT reconstruction and analysis tool that makes it easy to evaluate the reconstruction algorithms.
At the end of the project, the designed algorithms will be tested on a real scanner at Siemens AX, Forchheim.
- ECTS-Informationen:
- Credits: 10
- Zusätzliche Informationen
- Schlagwörter: Master Project, Pattern Recognition, CT Reconstruction
Erwartete Teilnehmerzahl: 10, Maximale Teilnehmerzahl: 12
www: https://www5.cs.fau.de/lectures/ss-18/projekt-flat-panel-ct-reconstruction-projfcr/
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2018:
- Hochschulpraktikum/Academic Laboratory (HoSchuPra)
- Projekt Mustererkennung (ProjME)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
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