Magnetic Resonance Imaging (MRI)
Colloqium timetable
MT Final Talk by Songjiang Tan: Multicenter Study of Brain Metastases Autosegmentation
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
- Hoppe E., Körzdorfer G., Nitka M., Würfl T., Wetzl J., Lugauer F., Schneider M., Pfeuffer J., Maier A.:
Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Hoppe18-DLF.pdf
BibTeX: Download - Pfaff L., Wagner F., Hoßbach J., Preuhs E., Maul N., Thies M., Denzinger F., Nickel MD., Wuerfl T., Maier A.:
Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets
International Symposium on Biomedical Imaging (ISBI)
BibTeX: Download - Pfaff L., Wagner F., Hoßbach J., Preuhs E., Gadjimuradov F., Benkert T., Nickel MD., Wuerfl T., Maier A.:
Unsupervised denoising of prostate DWI
ISMRM
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/
Zijin Yang, M. Sc.
- Phone number: +49 9131 85-28982
- Email: michael.yang@fau.de
- Website: https://lme.tf.fau.de/person/myang/