Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Med Phys. 2012 Feb;39(2):1125-32. doi: 10.1118/1.3679863.
To develop, implement, and compare two metal artifact reduction methods for CT.
Two methods for metal artifact reduction were developed. The first is based on applying corrections in a Radon transformation of the CT images. The second method is based on a forward projection of the CT images and applying corrections in the scanner's original raw data. The first method is generic since it does not depend on the scanner specifications. For the second method, detailed information on the design of the CT scanner and the raw data of the study is required. Clinical implementation and evaluation were performed using pre- and post-operative CT scans of four patients with shoulder prosthesis. For comparison of these methods, the authors developed a quantitative technique that compares improvement in image quality for the two metal artifact reduction techniques with the image quality of the uncorrected images.
Metal artifact reduction using either of the two methods yields a decrease of noise and artifacts in CT scans of patients with shoulder prostheses. Artifacts that appeared as bright and dark streaks were reduced or eliminated and as a result image quality improved. Quantitative assessment of clinical images showed improved image quality for both techniques of metal artifact reduction, but the method based on correction in original raw data performed better in all comparisons.
Both methods are effective for metal artifact reduction, but better performance was observed for the method that is based on correcting the original raw data. The used evaluation technique provides an objective way of evaluating the metal artifacts in clinical CT images.
开发、实施并比较两种用于 CT 的金属伪影减少方法。
开发了两种用于减少金属伪影的方法。第一种方法基于对 CT 图像的 Radon 变换进行校正。第二种方法基于对 CT 图像的正向投影,并在扫描仪的原始原始数据中进行校正。第一种方法是通用的,因为它不依赖于扫描仪规格。对于第二种方法,需要有关 CT 扫描仪设计和研究原始数据的详细信息。使用四位肩部假体患者的术前和术后 CT 扫描进行临床实施和评估。为了比较这两种方法,作者开发了一种定量技术,该技术比较了两种金属伪影减少技术对图像质量的改善与未校正图像的图像质量。
使用这两种方法中的任何一种都可以减少肩部假体患者 CT 扫描中的噪声和伪影。减少或消除了出现的亮暗条纹伪影,从而提高了图像质量。对临床图像的定量评估表明,两种金属伪影减少技术都可以提高图像质量,但基于原始原始数据校正的方法在所有比较中表现更好。
这两种方法都可有效减少金属伪影,但基于校正原始原始数据的方法性能更好。所使用的评估技术为评估临床 CT 图像中的金属伪影提供了一种客观的方法。