Advanced Iterative Metal Artifact Reduction With Intrinsic Spectral Information From Photon-counting Detector Computed Tomography

Experimental evidence from a bovine femur implant model suggests that a new, advanced iterative metal artifact reduction algorithm leveraging intrinsic spectral information from photon-counting detector CT effectively reduces metal artifacts and further improves the visualization of the metal-bone interface. Thus, this technique has the potential to enhance the assessment of implant-related complications such as aseptic loosening.

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Publication Details

Journal
Investigative Radiology
Published
2026-02-25
DOI
https://doi.org/10.1097/rli.0000000000001282
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
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Advanced Iterative Metal Artifact Reduction With Intrinsic Spectral Information From Photon-counting Detector Computed Tomography

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Advanced Iterative Metal Artifact Reduction With Intrinsic Spectral Information From Photon-counting Detector Computed Tomography

Matthias Eberhard, Sandro-Michael Heining, Thilo Schikorra, Andreas Specovius, Hatem Alkadhi, Victor Mergen, Tristan T. Demmert, Konstantin Klambauer, Thomas Flohr, Lukas J. Moser, Bernhard Schmidt
article en

Abstract

Experimental evidence from a bovine femur implant model suggests that a new, advanced iterative metal artifact reduction algorithm leveraging intrinsic spectral information from photon-counting detector CT effectively reduces metal artifacts and further improves the visualization of the metal-bone interface. Thus, this technique has the potential to enhance the assessment of implant-related complications such as aseptic loosening.

Investigative Radiology
Openalex Percentile: Top 45%
Advanced X-ray and CT Imaging
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