Common computed tomography artifact: source and avoidance

Springer Science and Business Media LLC - Tập 52 - Trang 1-6 - 2021
Amel F. Alzain1, Nagwan Elhussein2, Ibtisam Abdallah Fadulelmulla2, Amna Mohamed Ahmed3, M. E. Elbashir4, Badria Awad Elamin2
1Radiological Science Department, College of Applied Medical Science, Taibah University, El Monawara, Saudi Arabia
2Diagnostic Radiology Department, College of Applied Medical Science, University of Hail, Hail, Saudi Arabia
3Radiological Science Department, Alghad International College for Applied Medical Science, Tabuk, Saudi Arabia
4Radiological Science Department, College of Applied Medical Science, Taif University, Taif, Saudi Arabia

Tóm tắt

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. 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%). 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.

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