Document Type : Research Paper

Author

• Niloofar Reshtebar

دانشگاه صنعتی شریف

Abstract

Dynamic Positron Emission Tomography (PET) imaging has significant potential to extract the kinetic parameters of the tracer that the most important of which is the Ki parameter. In this study, the use of the Dual Time Point (DTP) technique to generate parametric Ki images using two 3-min static PET scans was evaluated.

In this research, the simulation study by XCAT phantom was performed by generating six realistic heterogeneous tumors embedded in lung and liver tissues and various levels of [18F] FDG uptake. Then, parametric Ki images were generated and evaluated using Patlak analysis and population-based input function (PBIF). Also, TBR and CNR parameters in SUV images and parametric images produced by DTP and full dynamic methods were compared and evaluated. The results showed that there is a significant correlation (> 0.9) between the Ki parameter produced by DTP and full dynamic imaging methods. Also, the high TBR parameter in DTP images compared to SUV images (70% - lung tumor, 35% - liver tumor) shows the improvement of contrast and quality of these images. Therefore, these images can be a suitable alternative to complete dynamic PET and SUV images in the clinic.

Keywords

• Compartmental modeling
• Dual-Time-Point
• Positron Emission Tomography
• Parametric imaging: XCAT phantom
• Dual Time Point technique