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Erschienen in: Neuroradiology 11/2020

18.06.2020 | Short Report

Potential of iterative reconstruction for maxillofacial cone beam CT imaging: technical note

verfasst von: Dmitri Matenine, Marc Kachelriess, Philippe Després, Jacques A. de Guise, Matthieu Schmittbuhl

Erschienen in: Neuroradiology | Ausgabe 11/2020

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Abstract

Iterative reconstruction has been proven to be an effective tool for low-dose computed tomography imaging. However, this technology is currently not available in commercial diagnostic maxillofacial cone beam CT. For this technical note, an iterative reconstruction technique was applied to cone beam CT raw data of two maxillofacial clinical cases to explore its potential for dose reduction and metal artifact reduction. Low-dose imaging was emulated by using only fractions of the clinical projection dataset. The reconstruction algorithms tested were filtered backprojection (FBP) as a reference method, and a total variation minimization (TV) regularized ordered subsets convex (OSC-TV) method as the iterative technique. Upon qualitative examination, the OSC-TV technique was found to conserve most diagnostic information using half the projections. Test images have also shown that at 1/4 of the projections, OSC-TV was more robust than FBP with respect to streaking and metal artifacts.
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Metadaten
Titel
Potential of iterative reconstruction for maxillofacial cone beam CT imaging: technical note
verfasst von
Dmitri Matenine
Marc Kachelriess
Philippe Després
Jacques A. de Guise
Matthieu Schmittbuhl
Publikationsdatum
18.06.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Neuroradiology / Ausgabe 11/2020
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-020-02467-z

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