Investigating artificial intelligence applications in motion artifacts: a systematic review

Introduction: The quality of images is always one of the most challenging and important issues in the field of medical imaging, including the MRI. The appropriate quality of images can be useful and effective in the process of diagnosing and treating patients correctly and even monitoring their physical condition after treatment. One of the factors that reduce the quality of the MRI is the motion artifact that causes errors in the diagnosis and treatment process, the repetition and prolongation of the imaging process, and the annoyance of patients. Today, there are various technologies to solve this problem, one of which is artificial intelligence. The purpose of this study is to investigate the applications of artificial intelligence in this field.Method: In this study, four databases Scopus, PubMed, IEEE Xplore and Web of Science were searched to retrieve related articles in artificial intelligence applications in motion artifacts. No restrictions were applied during the search. To conduct this study, the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline was followed.Results: The results of the search led to the retrieval of ۴۴۷۳ articles. After reviewing the abstract and title of the articles, a total of ۸۴ articles were related. The results of the review of these articles showed that artificial intelligence had two major applications: ۱. Detection of motion artifacts and ۲. Reduce or correct motion artifacts. These articles were published between ۲۰۰۶ and ۲۰۲۳. The highest number of published articles was related to ۲۰۲۳ with ۱۸ articles (۲۱.۴۳%). The results of these studies have shown that artificial intelligence has the potential to detect and reduce motion artifacts. Among the different methods of artificial intelligence, the deep learning method was used more than other methods.Conclusion: The results of this study showed that artificial intelligence can be effective both in detecting and reducing motion artifacts. It is suggested to use this method in Iran to detect and reduce motion artifacts.

Keywords:

motion artifact , artificial intelligence , MRI , artifact correction , artifact detection