Magnetic Resonance Imaging (MRI)

Colloqium timetable
Projects
3-D Multi-Contrast CINE Cardiac Magnetic Resonance Imaging
Magnetic resonance imaging (MRI) is a non-invasive imaging technique which is well suited for the diagnosis and monitoring of cardiovascular diseases because of its ability of visualizing the anatomy and the functional information of the heart. Additionally, with this technique a diversity of image contrasts is provided. However, cardiovascular MRI is challenging due to e.g. myocardial contraction and respiratory motion and thus not well-established for the clinical practice yet.
With iterative reconstruction methods, the acquisition time can be clearly reduced and the artifacts minimized at the same time. With the help of these methods a representation of the heart with a well spatial and temporal resolution (4-D representation) can be created.
Additionally, quantitative representation of physical relaxation times can be generated with so-called mapping techniques based on these different image contrasts. The aim of this PhD project is the extension of the temporal 3-D representation imaging technique for the heart with such a multi-contrast dimension. This extra dimension can lead to an enhanced separation between pathological and healthy myocardial tissues.
Publications
- Preuhs A., Ravikumar N., Manhart M., Stimpel B., Hoppe E., Syben-Leisner C., Kowarschik M., Maier A.:
Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_29
BibTeX: Download - Hoppe E., Thamm F., Körzdörfer G., Syben-Leisner C., Schirrmacher F., Nittka M., Pfeuffer J., Meyer H., Maier A.:
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Medical Image Computing and Computer Assisted Intervention (Shenzhen, October 13, 2019 - October 17, 2019)
In: Proceedings of MICCAI 2019, Cham: 2019
DOI: 10.1007/978-3-030-32248-9_11
BibTeX: Download - Schneider M., Lugauer F., Hoppe E., Nickel D., Dale BM., Kiefer B., Maier A., Bashir MR.:
Accuracy of Fatty Acid Quantification using Bipolar Multi-Echo MRI for Varying Numbers of Echoes
26th Annual Meeting & Exhibition (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schneider18-AOF.pdf
BibTeX: Download - Schneider M., Lugauer F., Hoppe E., Nickel D., Dale BM., Kiefer B., Maier A., Bashir MR.:
Fat Content and Fatty Acid Composition Quantification Using a 3D Stack-of-Radial Trajectory With Adaptive Gradient Calibration
26th Annual Meeting & Exhibition (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schneider18-FCA.pdf
BibTeX: Download - Schneider M., Lugauer F., Nickel D., Dale BM., Kiefer B., Maier A., Bashir MR.:
Improving the Noise Propagation Behavior of Different Fatty Acid Quantification Techniques using Spectral Denoising
ISMRM 25th Annual Meeting & Exhibition (Honolulu)
In: Proceedings of the 25th Annual Meeting of the ISMRM 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schneider17-ITN.pdf
BibTeX: Download
Persons

Laura Pfaff, M. Sc.
- Phone number: +49 9131 85-25246
- Email: laura.pfaff@fau.de
- Website: https://lme.tf.fau.de/person/pfaff/

Lukas Folle, M. Sc.
- Phone number: +49 9131 85-28982
- Email: lukas.folle@fau.de
- Website: https://lme.tf.fau.de/person/folle/

Zijin Yang, M. Sc.
- Phone number: +49 9131 85-28982
- Email: michael.yang@fau.de
- Website: https://lme.tf.fau.de/person/myang/