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Projekt Flat-Panel CT Reconstruction (ProjFCR)5 ECTS
(englische Bezeichnung: Projekt Flat-Panel CT Reconstruction)

Modulverantwortliche/r: Yixing Huang
Lehrende: Yixing Huang, Jennifer Maier


Start semester: SS 2021Duration: 1 semesterCycle: jährlich (SS)
Präsenzzeit: 60 Std.Eigenstudium: 90 Std.Language: Deutsch oder Englisch

Lectures:


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: 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.

Lernziele und Kompetenzen:

The students will be able to understand a clinical angiography system. The students will be able to implement CT reconstruction for parallel, fan, and cone beam geometries. Students will understand basic GPU architectures. Students will learn to implement software in Java and OpenCL

Bemerkung:

This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. No registration is required to attend this course. If you are interested, attend the first lecture on April 21st 2020. All further information will be provided in the StudOn course (link below).


Weitere Informationen:

Keywords: Master Project, Pattern Recognition, CT Reconstruction

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:

  1. Medizintechnik (Master of Science)
    (Po-Vers. 2013 | TechFak | Medizintechnik (Master of Science) | Grundcurriculum für alle Studienrichtungen | M6 Medizintechnische Praxiskompetenzen | Projekt Flat-Panel CT Reconstruction)
  2. Medizintechnik (Master of Science)
    (Po-Vers. 2018w | TechFak | Medizintechnik (Master of Science) | M6 Medizintechnische Praxismodule | Projekt Flat-Panel CT Reconstruction)
  3. Medizintechnik (Master of Science)
    (Po-Vers. 2019w | TechFak | Medizintechnik (Master of Science) | Modulgruppe M6 - Medizintechnische Praxismodule | Medizintechnische Praxismodule / Medical Engineering Practical Modules | Projekt Flat-Panel CT Reconstruction)

Studien-/Prüfungsleistungen:

Projekt Flat-Panel CT Reconstruction (Prüfungsnummer: 76531)
Prüfungsleistung, Praktikumsleistung, benotet, 5 ECTS
Anteil an der Berechnung der Modulnote: 100.0 %
Prüfungssprache: Deutsch oder Englisch

Erstablegung: SS 2021, 1. Wdh.: WS 2021/2022
1. Prüfer: Andreas Maier

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