Common computed tomography artifact: source and avoidance

• Published in: Egyptian journal of radiology and nuclear medicine Vol. 52; no. 1; pp. 151 - 6
• Main Authors: Alzain, Amel F, Elhussein, Nagwan, Fadulelmulla, Ibtisam Abdallah, Ahmed, Amna Mohamed, Elbashir, M. E, Elamin, Badria Awad
• Format: Journal Article
• Language: English
• Published: Cairo Springer 18-06-2021; Springer Nature B.V; Springer Berlin Heidelberg; SpringerOpen
• Subjects: Artifact reduction; Artifact source; Computed tomography; CT imaging; Data analysis; Decision making; Dental fillings; Image quality; Investigations; Medical imaging; Medical research; Medicine, Experimental; Preventive maintenance; Quality control; Questionnaires; Radiation; Responsible persons; Tomography; Transplants & implants; Saudi Arabia
• ISSN: 0378-603X; 2090-4762
• DOI: 10.1186/s43055-021-00530-0

Background Artifacts have significantly degraded the quality of computed tomography (CT) images, to the extent of making them unusable for diagnosis. The types of artifact that could be used are as follows: (a) streaking, which is commonly due to a discrepancy in a single measurement, (b) shading, which is due to a group of channels deviating gradually from the true measurement, (c) rings, which are due to errors in individual detector calibration and (d) distortion, which is due to helical reconstruction. It is occasionally possible to avoid scanning of a bony area, by means of changing the postion of the patient. Thus, this study aimed to evaluate the common artifacts that affect image quality and the method of correction to improve image quality. Results The data were collected by distributing a questionnaire to the CT technologist at different hospitals about the most common type of artifacts in the CT images, source of artifacts and methods of correction. A total of 95 CT technologists responded to the questionnaire, which included 67% males and 33% females. Most of the participants (70%) were experienced CT technologists, and 61% of the participants had not done any subspecialty CT scan courses. The most common artifact used in the CT departments was motion artifact in brain CT (73%), and the best method to reduce motion artifact was patient preparation (87%). Conclusions The most common shown artifact in this study was motion artifact, and the common cause was the patient-based artifact. It is important to understand why objects occur and how they could be prevented or suppressed to improve image quality.