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Article

The Impact of AI on Metal Artifacts in CBCT Oral Cavity Imaging

2024-05-29

Abstract excerpt

<h4>Objective: </h4> This study aimed to assess the impact of artificial intelligence (AI)-driven noise reduction algorithms on metal artifacts and image quality parameters in cone-beam computed tomography (CBCT) images of the oral cavity. <h4>Materials and Methods:</h4> This retrospective study included 70 patients, 61 of whom were analyzed after excluding those with severe motion artifacts. CBCT scans, performed...

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Literature Corpus work
a890fc1f-52f0-5a62-8357-41bdc7c2673e
DOI
10.20944/preprints202405.1971.v1
Open publication

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The Impact of AI on Metal Artifacts in CBCT Oral Cavity ImagingDOI 10.20944/preprints202405.1971.v1
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