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العنوان
Effect of metal artifact reduction of cone beam computed tomography machine on accuracy of linear measurements of titanium dental implants :
الناشر
Karim Amir Albert Boutros ,
المؤلف
Karim Amir Albert Boutros
هيئة الاعداد
مناقش / Karim Amir Albert Boutros
مشرف / Farid Medhat
مشرف / Nashwa Salah
مشرف / Islam Shawky Shaker
مناقش / Mohamed Mohamed Kamal Eldin Elserougy
تاريخ النشر
2021
عدد الصفحات
105 P. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
Dentistry (miscellaneous)
تاريخ الإجازة
2/1/2021
مكان الإجازة
جامعة القاهرة - الفم والأسنان - Oral and Maxillofacial Radiology
الفهرس
Only 14 pages are availabe for public view

from 149

from 149

Abstract

Aim: Beam hardening is considered highly common encountered artifacts in the CBCT scans. Metal artefacts can disrupt the original details of structures and objects in the radiograph that are adjacent to or near a highly attenuating object, and they can also project across the image field of view, resulting in inaccurate grey scale values for areas not immediately adjacent to the highly attenuating material.This study was planned to investigate the effect of metal artefact reduction (MAR) of cone beam computed tomography on the accuracy of implant linear measurements. Methodology: In this study eighteen patients with dental implants inserted in their jaws will be scanned by SOREDEX CRANEX® 3D cone beam computed tomography machine in two radiology centers. The resultant images will be reconstructed with and without metal artifact reduction (MAR) as a variable with other parameters being constant in all scans and the linear measurements acquired from the resultant images will be compared with the real measurements{u2019} length and width of titanium dental implant previously documented from the manufacturer information.Results: There was no statistically significant difference between implant length and width measurements scanned with SOREDEX CRANEX® 3D compared to the real implant measurements, however Implant width measurement error percentage with MAR showed statistically significantly lower median value than without MAR