Goodenough D J, Weaver K E, Costaridou H, Eerdmans H, Huysmans P
Comput Radiol. 1986 Mar-Jun;10(2-3):87-98. doi: 10.1016/0730-4862(86)90050-8.
The nature of artifacts in computed tomography, due to nonlinear partial volume effects, is briefly reviewed. A methodology for correction of these artifacts proposed. This methodology utilizes a correction algorithm for post-processing the original reconstructed CT image. The algorithm utilizes local CT values to predict the probability of volume averaging of bone, air and tissue, and incorporates information from the original image on the spatial extent of the averaging, to correct the nonlinear effects. The algorithm is successfully demonstrated on mathematical phantoms, wherein volume averaging can be introduced over central targets and/or peripheral annuli of tissue, bone, and air. The algorithm is also demonstrated on actual CT brain scans but only for its qualitative effects. It is pointed out that higher order corrections, to be reported in future publications, will further correct the actual clinical scans.
简要回顾了计算机断层扫描中由于非线性部分容积效应导致的伪影的性质。提出了一种校正这些伪影的方法。该方法利用一种校正算法对原始重建的CT图像进行后处理。该算法利用局部CT值来预测骨、空气和组织容积平均的概率，并结合原始图像中关于平均空间范围的信息，以校正非线性效应。该算法在数学模型上得到了成功验证，其中可以在组织、骨和空气的中心目标和/或周边环上引入容积平均。该算法也在实际的脑部CT扫描中得到了验证，但仅针对其定性效果。指出未来出版物中将报道的高阶校正将进一步校正实际临床扫描。
