Image Reconstruction in the Positron Emission Tomography
Abstract
Positron Emission Tomography (PET) has become a valuable tool with a broad spectrum of clinical applications in nuclear imaging. PET scanners can collect in vivo information from positron radiotracer distributions, which is further recon- structed to a tomographic image with the help of well established analytical or iterative algorithms. In this current work, an innovative PET image reconstruction method from raw data based on a simple mathematical model is presented. The developed technique utilizes the accumulated density distribution in a predefined voxelized volume of interest. This distribution is calculated by intersecting and weighting the two-gamma annihilation line with the specified voxels. In order to test the efficiency of the new algorithm, GEANT4/GATE simulation studies were performed. In these studies, a cylindrical PET scanner was modeled and the photon interaction points are validated on an accurate physical basis. An appropriate cylin- drical phantom with different positron radiotracers was used and the reconstructed results were compared to the original phantom.
Article Details
- How to Cite
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Zioga, M., Nikopoulou, A., Alexandridi, M., Maintas, D., Mikeli, M., Rapsomanikis, A.-N., & Stiliaris, E. (2012). Image Reconstruction in the Positron Emission Tomography. HNPS Advances in Nuclear Physics, 20, 73–79. https://doi.org/10.12681/hnps.2490
- Issue
- Vol. 20 (2012): HNPS2012
- Section
- Oral contributions