UnivIS
Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG 
FAU Logo
  Collection/class schedule    module collection Home  |  Legal Matters  |  Contact  |  Help    
search:      semester:   
 
 Layout
 
printable version

 
 
 Also in UnivIS
 
course list

lecture directory

 
 
events calendar

job offers

furniture and equipment offers

 
 

  Projekt Flat-Panel CT Reconstruction (ProjFCR)

Lecturers
Dr.-Ing. Yixing Huang, Fabian Wagner, M. Sc., Paula Andrea Pérez-Toro, M. Sc.

Details
Praktikum
Online
, ECTS studies, ECTS credits: 5, Sprache Deutsch oder Englisch, This course will be held online. No registration is required to attend this course. All further information will be provided in the StudOn course (link below).
Zeit: Thu 10:00 - 12:00, 0.01-142 CIP

Fields of study
WPF INF-MA ab 1
WPF MT-MA ab 3

Contents
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: The first part is the Academic Laboratory (Hochschulpraktikum). These 5 ECTS can be earned by attending the course, finishing the exercises and giving a short presentation at the end of the semester. The second part is the 5 ECTS Research Laboratory (Forschungspraktikum), where after the semester the students can work on research topics related to the topics taught in the course.
In the Academic Laboratory, 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:
  • Parallel-beam reconstruction

  • Fan-beam reconstruction

  • Cone-beam reconstruction

  • Hardware-acceleration using the graphics card

In the Research Laboratory, the participants will be asked to adopt the designed pipeline individually to specific problems in CT reconstruction. These topics are always related to current research at the Pattern Recognition Lab, including for example:

  • Limited field-of-view

  • Limited acquisition angle

  • Reconstruction with few projections

  • Noise reduction

  • Motion compensation

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, a trip to the Siemens Healthineers in Forchheim is planned in order to experiment with a real scanner.

The first lecture will take place 28 April at 10:00 am via Zoom.

ECTS information:
Credits: 5

Additional information
Keywords: Master Project, Pattern Recognition, CT Reconstruction
Expected participants: 10, Maximale Teilnehmerzahl: 12
www: https://www.studon.fau.de/studon/goto.php?target=crs_4389725

Verwendung in folgenden UnivIS-Modulen
Startsemester SS 2022:
Projekt Flat-Panel CT Reconstruction (ProjFCR)

Department: Chair of Computer Science 5 (Pattern Recognition)
UnivIS is a product of Config eG, Buckenhof