Effectiveness of Metal Artifact Reduction Algorithms in Dental CBCT: An Overview
Seershika Reddy Y
*
Department of Oral Medicine and Radiology, Madha Dental College and Hospital, Kundrathur, Chennai-69, Tamil Nadu, India.
Kavitha M
Department of Oral Medicine and Radiology, Madha Dental College and Hospital, Kundrathur, Chennai-69, Tamil Nadu, India.
Niveditha B
Department of Oral Medicine and Radiology, Madha Dental College and Hospital, Kundrathur, Chennai-69, Tamil Nadu, India.
Devi S
Department of Oral Medicine and Radiology, Madha Dental College and Hospital, Kundrathur, Chennai-69, Tamil Nadu, India.
Gurucharan R
Department of Oral Medicine and Radiology, Madha Dental College and Hospital, Kundrathur, Chennai-69, Tamil Nadu, India.
Vigneshwaran J
Department of Oral Medicine and Radiology, Madha Dental College and Hospital, Kundrathur, Chennai-69, Tamil Nadu, India.
*Author to whom correspondence should be addressed.
Abstract
Dental cone-beam computed tomography (CBCT) has significantly enhanced diagnostic capabilities in maxillofacial imaging, offering high-resolution, three-dimensional views with relatively low radiation exposure. However, the presence of metallic objects such as implants, restorations, and orthodontic appliances often introduces image-degrading artifacts that compromise diagnostic accuracy. Various metal artifact reduction (MAR) algorithms have been developed to counteract these limitations. This review synthesizes current evidence on the diagnostic effectiveness of MAR algorithms in dental CBCT, emphasizing their methodological principles, clinical outcomes, and limitations across different imaging contexts.
Keywords: CBCT, metal artifacts, MAR algorithms, image quality, diagnostic accuracy