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Type: Artigo
Title: Assessment Of Three Methods Of Geometric Image Reconstruction For Digital Subtraction Radiography
Author: Queiroz
Polyane M.; Oliveira
Matheus L.; Tanaka
Jefferson L.; Soares
Milton G.; Haiter-Neto
Francisco; Ono
Abstract: To evaluate three methods of geometric image reconstruction for digital subtraction radiography (DSR). Methods: Digital periapical radiographs were acquired. of 24 teeth with the X-ray tube at 6 different geometric configurations of vertical (V) and horizontal (H) angles: V0 degrees H0 degrees, V0 degrees H10 degrees, V10 degrees H0 degrees, V10 degrees H10 degrees, V20 degrees H0 degrees and V20 degrees H10 degrees. All 144 images were registered in pairs (Group V0 degrees H0 degrees + 1 of the 6 groups) 3 times by using the Emago((R)) (Oral Diagnostic Systems, Amsterdam, Netherlands) with manual selection and Regeemy with manual and automatic selections. After geometric reconstruction on the two software applications under different modes of selection, all images were subtracted and the standard deviation of grey values was obtained as a measure of image noise. All measurements were repeated after 15 days to evaluate the method error. Values of image noise were statistically analyzed by one-way ANOVA for differences between methods and between projection angles, followed by Tukey's test at a level of significance of 5%. Results: Significant differences were found between most of the projection angles for the three reconstruction methods. Image subtraction after manual selection-based reconstruction on Regeemy presented the lowest values of image noise, except on group V0 degrees H0 degrees. The groups V10 degrees H0 degrees and V20 degrees H0 degrees were not significantly different between the manual selection-based reconstruction in Regeemy and automatic selection-based reconstruction in Regeemy methods. Conclusions: The Regeemy software on manual mode revealed better quality of geometric image reconstruction for DSR than the Regeemy on automatic mode and the Emago on manual mode, when the radiographic images were obtained at V and H angles used in the present investigation.
Subject: Digital Dental Radiography
Radiographic Image Enhancement
Computer-assisted Image Processing
Editor: British Inst Radiology
Rights: fechado
Identifier DOI: 10.1259/dmfr.20160120
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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