Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners

Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners

Abstract Introduction Time-of-flight (TOF) positron emission tomography (PET) scanners can provide significant benefits by improving the noise properties of reconstructed images. In order to achieve this, the timing response of the scanner needs to be modelled as part of the reconstruction process....

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Bibliographic Details
Main Authors: Nikos Efthimiou, Kris Thielemans, Elise Emond, Chris Cawthorne, Stephen J. Archibald, Charalampos Tsoumpas
Format: Article
Language:English
Published: SpringerOpen 2020-06-01
Series:EJNMMI Physics
Subjects:
Monte Carlo
Positron emission tomography
Photon travel spread
Depth of interaction
Fast timing
Online Access:http://link.springer.com/article/10.1186/s40658-020-00309-8

Internet

http://link.springer.com/article/10.1186/s40658-020-00309-8

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