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Application of a newly developed software program for image quality assessment in cone-beam computed tomography

Imaging Science in Dentistry 2017³â 47±Ç 2È£ p.75 ~ 86
De Oliveira Marcus Vinicius Linhares, Santos Antonio Carvalho, Paulo Graciano, Campos Paulo Sergio Flores, Santos Joana,
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 ( De Oliveira Marcus Vinicius Linhares ) - Federal Institute of Bahia Department of Health Technology and Biology
 ( Santos Antonio Carvalho ) - Polytechnic Institute of Coimbra Coimbra Health School Department of Complementary Sciences
 ( Paulo Graciano ) - Polytechnic Institute of Coimbra Coimbra Health School Department of Medical Imaging and Radiotherapy
 ( Campos Paulo Sergio Flores ) - Federal University of Bahia Department of Interactive Processes of Organs and Systems
 ( Santos Joana ) - Polytechnic Institute of Coimbra Coimbra Health School Department of Medical Imaging and Radiotherapy

Abstract


Purpose: The purpose of this study was to apply a newly developed free software program, at low cost and with minimal time, to evaluate the quality of dental and maxillofacial cone-beam computed tomography (CBCT) images.

Materials and Methods: A polymethyl methacrylate (PMMA) phantom, CQP-IFBA, was scanned in 3 CBCT units with 7 protocols. A macro program was developed, using the free software ImageJ, to automatically evaluate the image quality parameters. The image quality evaluation was based on 8 parameters: uniformity, the signal-to-noise ratio (SNR), noise, the contrast-to-noise ratio (CNR), spatial resolution, the artifact index, geometric accuracy, and low-contrast resolution.

Results: The image uniformity and noise depended on the protocol that was applied. Regarding the CNR, high-density structures were more sensitive to the effect of scanning parameters. There were no significant differences between SNR and CNR in centered and peripheral objects. The geometric accuracy assessment showed that all the distance measurements were lower than the real values. Low-contrast resolution was influenced by the scanning parameters, and the 1-mm rod present in the phantom was not depicted in any of the 3 CBCT units. Smaller voxel sizes presented higher spatial resolution. There were no significant differences among the protocols regarding artifact presence.

Conclusion: This software package provided a fast, low-cost, and feasible method for the evaluation of image quality parameters in CBCT.

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Image Quality; Cone-Beam Computed Tomography; Quality Control; Quality Assurance

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