The aim of this project is to provide methods and tools in high-resolution small animal PET for accurate quantitative data analysis. This includes the quantitative dynamic (4D) PET image acquisition and intelligent image segmentation methods for automated regions-of-interest definition. Furthermore we are concerned with partial volume correction methods to accurately measure tracer uptake in small structures and tracer kinetic modelling in small animal PET.
| Faber, Cornelius Joachim | |
| Jiang, Xiaoyi | |
| Schäfers, Klaus |
| Faber, Cornelius Joachim | |
| Jiang, Xiaoyi | |
| Schäfers, Klaus |
| Law, Marilyn |
Duration: 01/07/2005 - 30/06/2017 | 1st Funding period Funded by: DFG - Collaborative Research Centre Type of project: Main DFG-project hosted at University of Münster |