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Automatic 3D-to-2D registration for CT and dual-energy digital radiography for calcification detection

机译:自动进行3D到2D配准以进行CT和双能数字射线照相术以进行钙化检测

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摘要

We are investigating three-dimensional (3D) to two-dimensional (2D) registration methods for computed tomography (CT) and dual-energy digital radiography (DEDR). CT is an established tool for the detection of cardiac calcification. DEDR could be a cost-effective alternative screening tool. In order to utilize CT as the “gold standard” to evaluate the capability of DEDR images for the detection and localization of calcium, we developed an automatic, intensity-based 3D-to-2D registration method for 3D CT volumes and 2D DEDR images. To generate digitally reconstructed radiography (DRR) from the CT volumes, we developed several projection algorithms using the fast shear-warp method. In particular, we created a Gaussian-weighted projection for this application. We used normalized mutual information (NMI) as the similarity measurement. Simulated projection images from CT values were fused with the corresponding DEDR images to evaluate the localization of cardiac calcification. The registration method was evaluated by digital phantoms, physical phantoms, and clinical data sets. The results from the digital phantoms show that the success rate is 100% with a translation difference of less than 0.8 mm and a rotation difference of less than 0.2°. For physical phantom images, the registration accuracy is 0.43±0.24 mm. Color overlay and 3D visualization of clinical images show that the two images registered well. The NMI values between the DRR and DEDR images improved from 0.21±0.03 before registration to 0.25±0.03 after registration. Registration errors measured from anatomic markers decreased from 27.6±13.6 mm before registration to 2.5±0.5 mm after registration. Our results show that the automatic 3D-to-2D registration is accurate and robust. This technique can provide a useful tool for correlating DEDR with CT images for screening coronary artery calcification. © 2007 American Association of Physicists in Medicine. [DOI: 10.1118/1.2805994]
机译:我们正在研究计算机断层扫描(CT)和双能数字射线照相(DEDR)的三维(3D)到二维(2D)配准方法。 CT是用于检测心脏钙化的公认工具。 DEDR可能是一种经济高效的替代筛选工具。为了利用CT作为“金标准”来评估DEDR图像检测和定位钙的能力,我们针对3D CT体积和2D DEDR图像开发了一种基于强度的自动3D到2D配准方法。为了从CT体中生成数字重建的射线照相(DRR),我们使用快速切变技术开发了几种投影算法。特别是,我们为此应用程序创建了高斯加权投影。我们使用归一化的互信息(NMI)作为相似性度量。将来自CT值的模拟投影图像与相应的DEDR图像融合,以评估心脏钙化的位置。通过数字体模,体模和临床数据集评估注册方法。数字体模的结果表明,成功率是100%,平移差小于0.8 mm,旋转差小于0.2°。对于物理幻像图像,套准精度为0.43±0.24 mm。颜色叠加和临床图像的3D可视化显示这两个图像吻合良好。 DRR和DEDR图像之间的NMI值从注册前的0.21±0.03改善到注册后的0.25±0.03。由解剖标志物测量的配准误差从配准前的27.6±13.6 mm降低到配准后的2.5±0.5 mm。我们的结果表明,自动3D到2D配准准确而可靠。该技术可以提供有用的工具,以将DEDR与CT图像相关联以筛查冠状动脉钙化。 ©2007美国医学物理学会。 [DOI:10.1118 / 1.2805994]

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