{"title":"Prevalence of artifacts in cone-beam computed tomography: A retrospective study","authors":"K. Mahesh, Prasannasrinivas Deshpande, S. Viveka","doi":"10.4103/jiaomr.jiaomr_142_22","DOIUrl":null,"url":null,"abstract":"Introduction: In dentistry, cone-beam computed tomography (CBCT) is an essential diagnostic technique. To use CBCT imaging technology efficiently, it is vital to understand its benefits and limits. Artifacts are discrepancies between the reconstructed visual image and the actual content of the subject that can reduce anatomic accuracy. Aims and Objectives: This study aimed to assess the prevalence of artifacts in CBCT images. Materials and Methods: Three hundred sixty-five CBCT images were retrospectively studied to identify artifacts, and the prevalence of different artifacts was recorded. Frequency and percentages are used for descriptive statistics. The Chi-square test was used for interventional statistics. Results: Artifacts were observed in two hundred forty-five images examined. The most prevalent image artifact recorded was the beam hardening artifact that falls under the physics-based category. Conclusion: Physics-based and scanner-based artifacts may be avoided by concentrating on X-ray parameters and scanner detector state, respectively. To limit the frequency of patient-based artifacts in CBCT images, patients should be instructed to remove any metallic jewelry and be stabilized appropriately. Scan time should be maintained to a minimum.","PeriodicalId":31366,"journal":{"name":"Journal of Indian Academy of Oral Medicine and Radiology","volume":"34 1","pages":"428 - 431"},"PeriodicalIF":0.3000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Indian Academy of Oral Medicine and Radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jiaomr.jiaomr_142_22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: In dentistry, cone-beam computed tomography (CBCT) is an essential diagnostic technique. To use CBCT imaging technology efficiently, it is vital to understand its benefits and limits. Artifacts are discrepancies between the reconstructed visual image and the actual content of the subject that can reduce anatomic accuracy. Aims and Objectives: This study aimed to assess the prevalence of artifacts in CBCT images. Materials and Methods: Three hundred sixty-five CBCT images were retrospectively studied to identify artifacts, and the prevalence of different artifacts was recorded. Frequency and percentages are used for descriptive statistics. The Chi-square test was used for interventional statistics. Results: Artifacts were observed in two hundred forty-five images examined. The most prevalent image artifact recorded was the beam hardening artifact that falls under the physics-based category. Conclusion: Physics-based and scanner-based artifacts may be avoided by concentrating on X-ray parameters and scanner detector state, respectively. To limit the frequency of patient-based artifacts in CBCT images, patients should be instructed to remove any metallic jewelry and be stabilized appropriately. Scan time should be maintained to a minimum.
期刊介绍:
Journal of Indian Academy of Oral Medicine and Radiology (JIAOMR) (ISSN: Print - 0972-1363, Online - 0975-1572), an official publication of the Indian Academy of Oral Medicine and Radiology (IAOMR), is a peer-reviewed journal, published Quarterly , both in the form of hard copies (print version) as well as on the web (electronic version). The journal’s full text is available online at http://www.jiaomr.in. The journal allows free access (open access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository.