Tutor, Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
Assistant Professor and Director, Radiology and Imaging Science, Dept. of Diagnosis and Oral Health, University of Louisville School of Dentistry, Louisville, KY, USA.
Oral Surg Oral Med Oral Pathol Oral Radiol. 2020 Feb;129(2):e212-e223. doi: 10.1016/j.oooo.2019.07.003. Epub 2019 Jul 15.
This case series describes a reconstruction method applied to a cone beam computed tomography (CBCT) projection data set that used selected basis projection images to improve diagnostic image quality for patients who moved during the radiographic procedure. Reconstructed volumetric data from 6 patients at 2 institutions initially exhibited characteristic double contour images as a result of motion artifacts. For each case, the CBCT basis images from the entire projection data set were displayed as a cine sequence, and patient movement was identified during the first or last 90-degrees of a full 360-degree acquisition trajectory. Employing a useful reconstruction function of proprietary software, a secondary reconstruction was performed by discarding data acquired during the first and last 90-degree rotation. For all cases, this method provided a volumetric data set without motion artifact. General practitioners can apply this clinical method, whenever appropriate, to avoid a rescan and keep patient exposure "as low as diagnostically acceptable."
本病例系列描述了一种重建方法，应用于锥形束 CT（CBCT）投影数据集，该方法使用选定的基础投影图像来提高在放射过程中移动的患者的诊断图像质量。来自 2 个机构的 6 名患者的初始重建体数据集显示出特征性的双重轮廓图像，这是运动伪影的结果。对于每个病例，整个投影数据集的 CBCT 基础图像以电影序列的形式显示，并且在整个 360 度采集轨迹的第一或最后 90 度期间识别出患者的运动。利用专有软件的有用重建功能，通过丢弃第一和最后 90 度旋转期间采集的数据来进行二次重建。对于所有病例，该方法提供了没有运动伪影的体数据集。全科医生可以在适当的时候应用这种临床方法，以避免重新扫描并使患者的辐射暴露保持在“可诊断接受的最低水平”。
