Comparison of deep learning-based denoising methods in cardiac SPECT

Comparison of deep learning-based denoising methods in cardiac SPECT

Abstract Background Myocardial perfusion SPECT (MPS) images often suffer from artefacts caused by low-count statistics. Poor-quality images can lead to misinterpretations of perfusion defects. Deep learning (DL)-based methods have been proposed to overcome the noise artefacts. The aim of this study...

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Bibliographic Details
Main Authors: Antti Sohlberg, Tuija Kangasmaa, Chris Constable, Antti Tikkakoski
Format: Article
Language:English
Published: SpringerOpen 2023-02-01
Series:EJNMMI Physics
Subjects:
Cardiac SPECT
Denoising
Deep learning
Online Access:https://doi.org/10.1186/s40658-023-00531-0

Internet

https://doi.org/10.1186/s40658-023-00531-0

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