Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shen Yang, Liao Ning, China.
Department of Computer Science, The University of Hong Kong, Hong Kong, China.
J Xray Sci Technol. 2019;27(3):417-429. doi: 10.3233/XST-180464.
In the lung biopsy image-guided surgery systems, the fiducial markers are used for point-based registration of the patient space to the CT image space. Fiducial marker detection and fiducial point localization in CT images have great influence on the accuracy of registration and guidance. This study proposes a fiducial marker detection approach based on the features of marker image slice sequences and a fiducial point localization approach according to marker projection images, without depending on the priori-knowledge of the marker default parameters provided by the manufacturers. The accuracy of our method was validated based on a CT image dataset of 24 patients. The experimental results showed that all 144 markers of 24 patients were correctly detected, and the fiducial points were localized with the average error of 0.35 mm. In addition, the localization accuracy of the proposed method was improved by an average of 12.5% compared with the accuracy of the previous method using the marker default parameters provided by the manufacturers. Thus, the study demonstrated that the proposed detection and localization methods are accurate and robust, which is quite encouraging to meet the requirement of future clinical applications in the image guided lung biopsy and surgery systems.
在肺活检图像引导手术系统中，基准标记物用于将患者空间基于点配准到 CT 图像空间。在 CT 图像中，基准标记物的检测和基准点定位对配准和引导的准确性有很大影响。本研究提出了一种基于标记图像切片序列特征的标记物检测方法和一种根据标记物投影图像的基准点定位方法，无需依赖制造商提供的标记物默认参数的先验知识。我们的方法的准确性是基于 24 名患者的 CT 图像数据集进行验证的。实验结果表明，24 名患者的所有 144 个标记物均被正确检测到，基准点的定位误差平均为 0.35mm。此外，与使用制造商提供的标记物默认参数的先前方法相比，该方法的定位精度平均提高了 12.5%。因此，该研究表明，所提出的检测和定位方法准确且稳健，非常有希望满足图像引导肺活检和手术系统未来临床应用的要求。
