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Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions

URN to cite this document:
urn:nbn:de:bvb:355-epub-555864
DOI to cite this document:
10.5283/epub.55586
Hellwig, Dirk ; Hellwig, Nils Constantin ; Boehner, Steven ; Fuchs, Timo ; Fischer, Regina ; Schmidt, Daniel
Date of publication of this fulltext: 23 Feb 2024 13:06



Abstract

Positron emission tomography (PET) is vital for diagnosing diseases and monitoring treatments. Conventional image reconstruction (IR) techniques like filtered backprojection and iterative algorithms are powerful but face limitations. PET IR can be seen as an image-to-image translation. Artificial intelligence (AI) and deep learning (DL) using multilayer neural networks enable a new approach to ...

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