2021
DOI: 10.1007/s11282-021-00561-3
|View full text |Cite|
|
Sign up to set email alerts
|

Evaluation of a metal artifact reduction algorithm and an adaptive image noise optimization filter in the estimation of peri-implant fenestration defects using cone beam computed tomography: an in-vitro study

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 42 publications
1
2
0
Order By: Relevance
“…Recently, several studies have used AR filters to see if they improve diagnostic efficiency [11,[29][30][31]. Similar to our results Bezzera et al [31] revealed that the AR did not improve the diagnostic accuracy.…”
Section: Discussionsupporting
confidence: 88%
“…Recently, several studies have used AR filters to see if they improve diagnostic efficiency [11,[29][30][31]. Similar to our results Bezzera et al [31] revealed that the AR did not improve the diagnostic accuracy.…”
Section: Discussionsupporting
confidence: 88%
“…A previous study assessed the effect of combining MAR with an enhancement filter on the detection of peri-implant fenestration defects located near zirconium implants. 27 The authors found that this combination improved the accuracy of detecting peri-implant fenestrations. Nonetheless, additional filters and diagnostic tasks should be examined to clarify the benefits of combining those tools.…”
Section: Discussionmentioning
confidence: 98%
“…[46] evaluated the effects of four MAR protocols (off, low, medium, and high) for the assessment of periodontal and peri-implant defects, and they found no difference in diagnostic accuracy with any MAR protocol. However, Bagis et al [47] recommended the use of the MAR tool for the detection of peri-implant fenestration defects.…”
Section: Discussionmentioning
confidence: 99%