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Fast 3D kernel computation method for positron range correction in PET by Chong Li; Jürgen Scheins; Lutz Tellmann; Ahlam Issa; Long Wei; N Jon Shah; Christoph Lerche is a Medicine article available to read on EtoBox.
What is Fast 3D kernel computation method for positron range correction in PET about?
## Abstract __Objective__. The positron range is a fundamental, detector-independent physical limitation to spatial resolution in positron emission tomography (PET) as it causes a significant blurring of underlying activity distribution in the reconstructed images. A major challenge for positron range correction methods is to provide accurate range kernels that inherently incorporate the generally inhomogeneous stopping power, especially at tissue boundaries. In this work, we propose a novel approach to generate accurate three-dimensional (3D) blurring kernels both in homogenous and heterogeneous media to improve PET spatial resolution. __Approach__. In the proposed approach, positron energy deposition was approximately tracked along straight paths, depending on the positron stopping power of the underlying material. The positron stopping power was derived from the attenuation coefficient of 511 keV gamma photons according to the available PET attenuation maps. Thus, the history of energy deposition is taken into account within the range of kernels. Special emphasis was placed on facilitating the very fast computation of the positron annihilation probability in each voxel. __Result
Who reads Fast 3D kernel computation method for positron range correction in PET?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Chong Li; Jürgen Scheins; Lutz Tellmann; Ahlam Issa; Long Wei; N Jon Shah; Christoph Lerche
- Publisher
- IOP Publishing
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)