Dental implant artifacts: Evaluation of photon counting CT-derived virtual monoenergetic images in combination with iterative metal artifact reduction algorithms

The frequency of dental implants (DI) has increased substantially since the turn of the millennium, especially in the age group between 65 and 74 years. While the frequency in the United States was just under 1 % around the year 2000, the prevalence 15 years later was already 6 % in the general population [1].

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