Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantoms

Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantoms

Abstract Background Computed tomography (CT) reconstruction algorithms can improve image quality, especially deep learning reconstruction (DLR). We compared DLR, iterative reconstruction (IR), and filtered back projection (FBP) for lesion detection in neck CT. Methods Nine patient-mimicking neck pha...

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Bibliographic Details
Main Authors: Quirin Bellmann, Yang Peng, Ulrich Genske, Li Yan, Moritz Wagner, Paul Jahnke
Format: Article
Language:English
Published: SpringerOpen 2024-07-01
Series:European Radiology Experimental
Subjects:
Deep learning
Neck
Parapharyngeal space
Phantoms (imaging)
Tomography (x-ray computed)
Online Access:https://doi.org/10.1186/s41747-024-00486-6

Internet

https://doi.org/10.1186/s41747-024-00486-6

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