Artifact Reduction From Dental Material in Photon-Counting Detector Computed Tomography Data Sets Based on High-keV Monoenergetic Imaging and Iterative Metal Artifact Reduction Reconstructions-Can We Combine the Best of Two Worlds?

Publikation

Artifact Reduction From Dental Material in Photon-Counting Detector Computed Tomography Data Sets Based on High-keV Monoenergetic Imaging and Iterative Metal Artifact Reduction Reconstructions-Can We Combine the Best of Two Worlds?

Wissenschaftlicher Artikel/Review - 01.09.2023

Risch Franka, Decker Josua A, Popp Daniel, Sinzinger Andrea, Braun Franziska, Bette Stefanie, Jehs Bertram, Haerting Mark, Wollny Claudia, Scheurig-Muenkler Christian, Kroencke Thomas J, Schwarz Florian

Zitation

Risch F, Decker J, Popp D, Sinzinger A, Braun F, Bette S, Jehs B, Haerting M, Wollny C, Scheurig-Muenkler C, Kroencke T, Schwarz F. Artifact Reduction From Dental Material in Photon-Counting Detector Computed Tomography Data Sets Based on High-keV Monoenergetic Imaging and Iterative Metal Artifact Reduction Reconstructions-Can We Combine the Best of Two Worlds?. Invest Radiol 2023; 58:691-696.

Art

Wissenschaftlicher Artikel/Review (Englisch)

Zeitschrift

Invest Radiol 2023; 58

Veröffentlichungsdatum

01.09.2023

eISSN (Online)

1536-0210

Seiten

691-696

Kurzbeschreibung/Zielsetzung

The aim of this study was to compare the effectiveness of common strategies for artifact reduction of dental material in photon-counting detector computed tomography data sets.