Imaging of small spherical structures in CT: simulation study using measured point spread function
Imaging of small spherical structures in CT: simulation study using measured point spread function
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DOI：
10.1007/s11517-007-0283-x
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发表时间：
2008-03-01
影响因子：
3.2
通讯作者：
Nishizawa, Kanae
中科院分区：
文献类型：
--
作者：
Ohkubo, Masaki;Wada, Shinichi;Nishizawa, Kanae
使用计算机断层扫描（CT）进行的物体的大小和密度测量对于诊断具有临床意义。为了评估这些量化的准确性，我们模拟了三维（3D）CT图像模糊;这涉及到3D目标函数与测量的3D点扩散函数（PSF）的卷积计算。我们最初验证了模拟技术进行幻影实验。模糊的计算机图像显示出与体模测量图像的良好3D一致性。我们使用这种技术来计算的3D模糊图像的目标函数，其中功能被确定为具有不同直径的理想球体的形状，并假设孤立的肺结节具有均匀的密度。直径和密度测量的准确性进行了测定。我们的结论是，所提出的模拟技术使我们能够精确地估计任何三维结构的图像模糊，并定量分析临床图像。
Size and density measurements of objects undertaken using computed tomography (CT) are clinically significant for diagnosis. To evaluate the accuracy of these quantifications, we simulated three-dimensional (3D) CT image blurring; this involved the calculation of the convolution of the 3D object function with the measured 3D point spread function (PSF). We initially validated the simulation technique by performing a phantom experiment. Blurred computed images showed good 3D agreement with measured images of the phantom. We used this technique to compute the 3D blurred images from the object functions, in which functions are determined to have the shape of an ideal sphere of varying diameter and assume solitary pulmonary nodules with a uniform density. The accuracy of diameter and density measurements was determined. We conclude that the proposed simulation technique enables us to estimate the image blurring precisely of any 3D structure and to analyze clinical images quantitatively.