Introduction: Mammography is an important radiological examination for the detection of breast cancer. Artifacts can affect the quality of mammographic images, simulate or obscure abnormalities and lead to diagnostic errors. There are several types of artifacts, including those related to the image receptor, equipment, patient, and image processing and storage systems. Radiographers must be able to recognize these artifacts and understand how to minimize or eliminate them. Purpose: The aim of this thesis is to provide a systematic literature review of artifacts in mammography. The thesis provides a comparison of different algorithms and methods used to reduce or eliminate artifacts. Methods: A descriptive method with a systematic literature review was used. Scientific and professional articles were searched using the PubMed and ScienceDirect databases and the Google Scholar search engine. The literature search was conducted between November 7, 2024 and January 14, 2025 and followed defined inclusion and exclusion criteria. Results: The initial database search yielded 16,556 results. Fifteen articles were included in the final systematic review. The PRISMA model was used to clearly outline the steps that led to the final selection of studies. The included studies were conducted in different countries worldwide. Discussion and conclusion: The results show that artifacts in mammography can significantly affect image quality and lead to misdiagnosis or unnecessary additional examinations. The most common causes of artifacts include patient movement, improper positioning, problems with breast compression, and various technical factors such as image processing errors and image processor malfunctions. While advanced technologies such as digital mammography and tomosynthesis allow for better visualization of breast structures, they also introduce specific artifacts that require adapted algorithms for correction. Research has shown that the use of appropriate algorithms can significantly improve image quality and reduce interference from artifacts. However, research on this topic is still limited in Slovenia, which emphasizes the need for further studies on the occurrence of artifacts in different mammography systems. This thesis contributes to a better understanding of artifacts in mammography and presents possible solutions to improve diagnostic accuracy.
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