Lagravère Manuel O, Secanell Marc, Major Paul W, Carey Jason P
Faculty of Medicine and Dentistry, University of Alberta, Alberta, Canada.
Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2011 Jun;111(6):771-7. doi: 10.1016/j.tripleo.2011.02.017.
The purpose of this study was to evaluate and reduce potential errors associated with superimposition of serial cone-beam computerized tomography (CBCT) images using planes based on cranial base landmarks.
CBCTs from 10 patients were analyzed. The potential impact of errors in cranial base landmark identification on assessment of the relative position of distant landmarks is mitigated by means of a mathematical algorithm that ensures that the distances and angles between landmark identification points are maintained for different images by readjusting the landmark coordinates.
Significant improvement was observed after optimization. The errors found in a previous study were significantly reduced, some by more than 90%. Errors found in the standardization were viewed in both infraorbitals and mentons ranging from 1 to 3 mm.
The mathematical transformation to readjust the coordinates of ELSA, left and right auditory external meatus (AEM), and dorsum foramen magnum (DFM) points significantly improves their use for image superimposition.
本研究的目的是评估并减少与基于颅底标志点的平面进行系列锥束计算机断层扫描（CBCT）图像叠加相关的潜在误差。
分析了10例患者的CBCT。通过一种数学算法减轻颅底标志点识别误差对远处标志点相对位置评估的潜在影响，该算法通过重新调整标志点坐标，确保不同图像间标志点识别点之间的距离和角度得以保持。
优化后观察到显著改善。先前研究中发现的误差显著降低，有些降低超过90%。标准化中发现的误差在眶下点和颏点处均可见，范围为1至3毫米。
对耳上点（ELSA）、左右外耳道（AEM）和枕大孔背侧（DFM）点的坐标进行重新调整的数学变换显著改善了它们在图像叠加中的应用。
