Jo Gyu-Dong, Park Chul-Wan, Jeon Kug Jin, Han Sang-Sun
Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Oral Science Research Center, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Sci Rep. 2025 Jul 1;15(1):20645. doi: 10.1038/s41598-025-08188-8.
This study aimed to quantitatively evaluate the efficacy of a metal artifact reduction (MAR) algorithm in cone-beam computed tomography (CBCT) under varying exposure modes and metal rod orientations using a standardized evaluation method. A SEDENTEXCT IQ phantom was scanned with a CBCT system under three exposure modes (standard, low-dose, ultra-low-dose) and two rod orientations (horizontal, vertical), with the MAR algorithm activated and deactivated. Artifact areas were quantified from binarized images based on a thresholding method that distinguished artifact-affected regions from the background. The percentage reduction in metal artifacts was calculated by comparing scans acquired with and without MAR activation. Statistical analyses were conducted to assess differences across conditions. The MAR algorithm significantly reduced metal artifacts under all tested conditions (P < 0.05), with reductions of 61.5% in the standard mode, 73.6% in the low-dose mode, and 80.3% in the ultra-low-dose mode. By rod orientation, artifact reduction was 63.3% for the horizontal orientation and 80.7% for the vertical orientation. These results confirm the consistent effectiveness of the MAR algorithm across different acquisition settings. The proposed standardized evaluation method provides a reproducible framework for objectively assessing MAR performance and supporting its clinical integration.
本研究旨在使用标准化评估方法,定量评估金属伪影减少(MAR)算法在不同曝光模式和金属棒方向下的锥束计算机断层扫描(CBCT)中的效果。使用CBCT系统在三种曝光模式(标准、低剂量、超低剂量)和两种棒方向(水平、垂直)下对SEDENTEXCT IQ体模进行扫描,同时激活和停用MAR算法。基于区分受伪影影响区域与背景的阈值方法,从二值化图像中对伪影区域进行量化。通过比较激活和未激活MAR时获得的扫描结果,计算金属伪影减少的百分比。进行统计分析以评估不同条件之间的差异。在所有测试条件下,MAR算法均显著减少了金属伪影(P < 0.05),在标准模式下减少了61.5%,在低剂量模式下减少了73.6%,在超低剂量模式下减少了80.3%。按棒方向划分,水平方向的伪影减少率为63.3%,垂直方向为80.7%。这些结果证实了MAR算法在不同采集设置下的一致有效性。所提出的标准化评估方法为客观评估MAR性能并支持其临床应用提供了一个可重复的框架。