Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm

Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm

Abstract Background Photon-counting detector (PCD) technology has the potential to reduce noise in computed tomography (CT). This study aimed to carry out a voxelwise noise characterization for a clinical PCD-CT scanner with a model-based iterative reconstruction algorithm (QIR). Methods Forty repea...

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Bibliographic Details
Main Authors: Luigi Masturzo, Patrizio Barca, Luca De Masi, Daniela Marfisi, Antonio Traino, Filippo Cademartiri, Marco Giannelli
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:European Radiology Experimental
Subjects:
Algorithms
Image processing (computer-assisted)
Radiation exposure
Tomography (x-ray computed)
Tomography scanners (x-ray computed)
Online Access:https://doi.org/10.1186/s41747-024-00541-2
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https://doi.org/10.1186/s41747-024-00541-2

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