|
|
Vorlesungsverzeichnis >> Technische Fakultät (TF) >>
|
Seminar Advanced Reconstruction Techniques for MRI (ART MRI)- Dozentinnen/Dozenten
- Prof. Dr.-Ing. Joachim Hornegger, Assistenten
- Angaben
- Seminar
, ECTS-Studium, ECTS-Credits: 5, Sprache Deutsch oder Englisch
Zeit und Ort: n.V.
Vorbesprechung: 20.4.2012, 14:00 - 15:30 Uhr, Raum 09.150
- Studienfächer / Studienrichtungen
- WPF INF-MA ab 1 (ECTS-Credits: 5)
WPF IuK-MA ab 1 (ECTS-Credits: 2,5)
WPF CE-MA-SEM ab 1 (ECTS-Credits: 5)
WPF MT-MA ab 1 (ECTS-Credits: 5)
- ECTS-Informationen:
- Credits: 5
- Prerequisites
- Development of algorithms plays an important role in this seminar.
Thus, participants should have established programming skills in C++ and/or
Matlab.
Furthermore, it is advantageous for participants to have attended lectures on
image processing or pattern recognition.
An introduction into the software framework and MRI basics will be given at the
beginning of the seminar.
- Contents
- Magnetic Resonance Imaging (MRI) is a powerful medical imaging modality
that provides a detailed soft tissue contrast. In contrast to computed
tomography (CT), the patient is not exposed to radiation during the examination.
Recently, methods to speed up image acquisition were proposed that apply
iterative reconstruction techniques like compressed sensing to maintain image
quality.
In this seminar we will discuss current methods, challenges and promising
applications in MR imaging.
The goal of this seminar is to discuss and compare different approaches in the
literature. You have the opportunity to implement and evaluate ideas and methods
within an MRI reconstruction framework that is currently being developed by the
MRI group at the Pattern Recognition Lab (LME).
The reconstruction framework provides modular components for the imaging
pipeline, ranging from image acquisition to different reconstruction techniques.
The seminar will cover the following aspects:
MRI simulation and data acquisition schemes
Iterative reconstruction techniques#
Sparse image representations (Wavelets, Total Variation)
GPU acceleration / parallelization of performance-critical tasks
- Zusätzliche Informationen
- Schlagwörter: Medical Image Processing, MRI
Erwartete Teilnehmerzahl: 15
www: http://www5.informatik.uni-erlangen.de/lectures/ss-12/seminar-advanced-reconstruction-techniques-for-mri-art-mri/
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2012:
- Seminar Advanced Reconstruction Techniques for MRI (ART MRI)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
|
 |
|
|
UnivIS ist ein Produkt der Config eG, Buckenhof |
|
|