Lee Chena, Lee Ari, Choi Yoon Joo, Jeon Kug Jin, Kim Young Hyun, Han Sang-Sun
Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Korea.
Sci Rep. 2021 May 14;11(1):10332. doi: 10.1038/s41598-021-89298-x.
This study investigated whether metal artifact reduction (MAR) applied computed tomography (CT) scans could be used to generate precise digital models and explored possible correlations between the amount of metal artifact and model accuracy. Thirty maxillofacial CT scans were randomly selected and a MAR algorithm was applied. By subtracting the original and MAR-applied CT images, the amount of metal artifact was quantified. Digital models were generated from the original and the MAR-applied CT data. Paired digital models were superimposed and shape deviation in planar surface was measured at 10 points in 4 planes. Statistical analyses were performed to compare deviations and to assess correlations between the amount of artifact and deviation. The MAR algorithm reduced metal artifact in all cases. The overall mean deviation of the MAR-applied models was 0.0868 mm, with no significant difference according to the reference plane. The amount of artifact did not significantly influence the accuracy of the digital models. MAR-applied CT is a convenient source for digital modeling with clinically acceptable accuracy. The MAR algorithm can be used regardless of the amount of metal artifact, which are generated by dental prostheses, for the quick and convenient manipulation of dental digital models.
本研究调查了应用于计算机断层扫描（CT）的金属伪影减少（MAR）技术是否可用于生成精确的数字模型，并探索了金属伪影量与模型准确性之间的可能相关性。随机选择30例颌面CT扫描，并应用MAR算法。通过减去原始CT图像和应用MAR算法后的CT图像，对金属伪影量进行量化。从原始CT数据和应用MAR算法后的CT数据生成数字模型。将配对的数字模型进行叠加，并在4个平面的10个点处测量平面表面的形状偏差。进行统计分析以比较偏差，并评估伪影量与偏差之间的相关性。MAR算法在所有病例中均减少了金属伪影。应用MAR算法的模型的总体平均偏差为0.0868毫米，根据参考平面无显著差异。伪影量对数字模型的准确性没有显著影响。应用MAR算法的CT是一种方便的数字建模来源，具有临床可接受的准确性。MAR算法可用于处理由牙修复体产生的金属伪影量，以便快速方便地操作牙科数字模型。
