CareLit · DOI-Nachweis · Nuklearmedizin - NuclearMedicine
Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions
DOI 10.1055/a-2198-0358
Bibliografische Angaben
Nachweis in CareLit
Autor:innenDirk Hellwig, Nils Constantin Hellwig, Steven Boehner, Timo Fuchs, Regina Fischer, Daniel Schmidt
ZeitschriftNuklearmedizin - NuclearMedicine
Ausgabe06/2023
Jahrgang / SeitenJg. 62 · S. 334-342
Kernaussage aus der Literatur
Abstract-Vorschau
AbstractPositron 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 this computer…
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Zitierempfehlung
Dirk Hellwig, Nils Constantin Hellwig, Steven Boehner, Timo Fuchs, Regina Fischer, Daniel Schmidt (2023) Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions. Nuklearmedizin - NuclearMedicine, 62 (06), 334-342. https://doi.org/10.1055/a-2198-0358
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