Document Detail


Signal-to-noise ratios of 6 intraoral digital sensors.
MedLine Citation:
PMID:  11346743     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: The objective of this study was to compare the signal-to-noise ratios (SNRs) of 6 intraoral direct digital sensors. The sensors were Visualix 1, Visualix 2, DenOptix, Computed Dental Radiography (CDR), CDR APS, and Digora. STUDY DESIGN: The sensors were exposed by using a dental x-ray machine operating at 50 kV, 8 mA and various exposure times. The phantom used was a hole measuring 1 mm in diameter and 1.25 mm in depth, drilled in a 10-mm-thick aluminum block. Digital images were transferred as 8-bit tagged image file format files and analyzed by using a personal computer. RESULTS AND CONCLUSIONS: SNR values increased up to a maximum value at a certain exposure level and then, depending on the system, either decreased or maintained a high level with increased exposure. The Digora system produced the highest SNR values over a large exposure range, whereas the Visualix 2 and DenOptix systems produced the lowest SNR values. The 2 CDR sensors produced rather high SNRs but over a very small exposure range.
Authors:
A G Attaelmanan; E Borg; H G Gr?ndahl
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics     Volume:  91     ISSN:  1079-2104     ISO Abbreviation:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod     Publication Date:  2001 May 
Date Detail:
Created Date:  2001-05-10     Completed Date:  2001-07-19     Revised Date:  2010-03-24    
Medline Journal Info:
Nlm Unique ID:  9508562     Medline TA:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod     Country:  United States    
Other Details:
Languages:  eng     Pagination:  611-5     Citation Subset:  D; IM    
Affiliation:
Department of Oral and Maxillofacial Radiology, Faculty of Odontology, G?teborg University, SE 405 30 G?teborg, Sweden. gaffar@odontologi.gu.se
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Aluminum
Artifacts
Equipment Design
Humans
Microcomputers
Phantoms, Imaging
Radiation Dosage
Radiographic Image Enhancement*
Radiography, Dental, Digital / instrumentation*
Signal Processing, Computer-Assisted*
Chemical
Reg. No./Substance:
7429-90-5/Aluminum

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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