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Does the metal artifact reduction algorithm activation mode influence the magnitude of artifacts in CBCT images?
- Source :
- Imaging Science in Dentistry; Mar2020, Vol. 50 Issue 1, p23-30, 8p
- Publication Year :
- 2020
-
Abstract
- Purpose: This study was conducted to assess the effectiveness of a metal artifact reduction (MAR) algorithm activated at different times during cone-beam computed tomography (CBCT) acquisition on the magnitude of artifacts generated by a zirconium implant. Materials and Methods: Volumes were obtained with and without a zirconium implant in a human mandible, using the OP300 Maxio unit. Three modes were tested: without MAR, with MAR activated after acquisition, and with MAR activated before acquisition. Artifacts were assessed in terms of the standard deviation (SD) of gray values and the contrast-to-noise ratio (CNR) in 6 regions of interest with different distances (10 to 35 mm, from the nearest to the farthest) and angulations (70° to 135°) from the implant region. Results: In the acquisitions without MAR, the regions closer to the implant (10 and 15 mm) had a higher SD and lower CNR than the farther regions. When MAR was activated (before or after), SD values did not differ among the regions (P>0.05). The region closest to the implant presented a significantly lower CNR in the acquisitions without MAR than when MAR was activated after the acquisition; however, activating MAR before the acquisition did not yield significant differences from either of the other conditions. Conclusion: Both modes of MAR activation were effective in decreasing the magnitude of CBCT artifacts, especially when the effects of the artifacts were more noticeable. [ABSTRACT FROM AUTHOR]
- Subjects :
- CONE beam computed tomography
STANDARD deviations
ZIRCONIUM
METALS
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 22337822
- Volume :
- 50
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Imaging Science in Dentistry
- Publication Type :
- Academic Journal
- Accession number :
- 142664359
- Full Text :
- https://doi.org/10.5624/isd.2020.50.1.23