Hybrid Reconstruction Approach for Polychromatic Computed Tomography in Highly Limited-Data Scenarios

Hybrid Reconstruction Approach for Polychromatic Computed Tomography in Highly Limited-Data Scenarios

Conventional strategies aimed at mitigating beam-hardening artifacts in computed tomography (CT) can be categorized into two main approaches: (1) postprocessing following conventional reconstruction and (2) iterative reconstruction incorporating a beam-hardening model. While the former fails in low-...

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Bibliographic Details
Main Authors: Alessandro Piol, Daniel Sanderson, Carlos F. del Cerro, Antonio Lorente-Mur, Manuel Desco, Mónica Abella
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
artifact removal
beam hardening
CT
deep learning
limited data
L2-PICCS
Online Access:https://www.mdpi.com/1424-8220/24/21/6782
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