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作者研究了高分辨CT容积测量法估测肺内小结节病灶的增长和恶性程度的作用。其采用Hispeed Advantage CT机;螺旋扫描参数是螺距1∶1,140kVp,200mA,1mm层厚。肺部结节扫描在一次屏气中完成。将扫描数据通过高空间分辨算法以0.5mm间隔在9.6cm的视野中重建影像。使用多维影像处理和计算机视觉处理软件包,计算获得结节病灶的3D影像容积。其具体过程是重建各向同性的3D影像,然后获得一个3D的二元影像,再运用3D
The authors studied the role of high-resolution CT volumetric measurements in assessing the growth and malignancy of small nodules in the lung. It uses Hispeed Advantage CT machine; spiral scanning parameters are pitch 1: 1, 140kVp, 200mA, 1mm layer thickness. Pulmonary nodule scanning is done in a breath-hold. The scan data was reconstructed in a 9.6 cm field of view at 0.5 mm intervals using a high spatial resolution algorithm. Using multidimensional image processing and computer vision processing software packages, the 3D image volume of nodal lesions was calculated. The specific process is to rebuild isotropic 3D images, and then get a 3D binary image, and then use 3D