• Verbesserung der Quantifizierung funktioneller Informationen in der onkologischen Anwendung der PET
• Quantitative Perfusionsbildgebung mittels funktioneller ASL-MRT
• Multimodale Bildgebung und Bestimmung der quantitativen Genauigkeit in-vivo
• Bewegungskorrekturmethoden für die PET
• Entwicklung hochauflösender iterativer Bildrekonstruktionsverfahren

Forschungsthemen

• Quantitative Datenauswer­tung
• Funktionelle MRT-Bildge­bung
• Multimodale Bildge­bung
• Bewe­gungs­korrekturmethoden
• Iterative Bildrekonstruktion

***********English***********

The importance of detailed functional/anatomical visualization and accurate quantification of functional processes for detection and assessment of malignant tissues continues to increase, especially in the context of personalized oncology. Functional molecular imaging requires dedicated state-of-the-art devices, notably PET/CT and PET/MR, for pre-clinical and clinical investigations, as well as suitable molecular probes such as novel radiotracers. Equally important are optimal algorithms and data evaluation procedures tailored for the tasks at hand. The Department of Positron Emission Tomography is engaged in development, evaluation, and validation of algorithms, procedures, and tools – including their translation into clinical use – for improvement of preclinical and clinical quantitative functional PET/MRI and PET/CT imaging.

Our research is addressing multiple aspects of the image data acquisition and processing chain, including, among others, image reconstruction, motion correction, modelling of transport and metabolic processes, quantification of tumor shape irregularities, and statistical analysis. More detailed information regarding currently persued projects can be found in the links below.

Research Topics

• Improved quantification of functional information in oncological PET
• Quantitative perfusion imaging using functional ASL-MRI
• Multimodal imaging and assessment of in-vivo quantification accuracy
• Motion compensation methods for PET
• High resolution iterative image reconstruction for PET