Chueh Ho-Shiang, Tsai Wen-Kai, Fu Hsiao-Mei, Chen Jyh-Cheng
Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.
Comput Med Imaging Graph. 2006 Sep-Oct;30(6-7):349-55. doi: 10.1016/j.compmedimag.2006.09.007. Epub 2006 Oct 25.
Quantitative computed tomography provides the most accurate form of bone mineral density measurement. It is very useful in several applications when used with micro computed tomography (microCT). The objective of this study is to evaluate the quantitative capability of iterative and analytic reconstruction with and without energy-based beam hardening calibration using a home-made microCT. Due to the fact that the source of X-rays in the microCT is poly-energetic and the linear attenuation coefficient varies with the energy of the X-ray photons, a specific correction is presented in this study that resolves the poly-energetic effect. Then, a 3D distribution of the linear attenuation coefficient is reconstructed from the ordered subsets using the maximum likelihood and T-FDK algorithms. These algorithms were both developed for cone-beam microCT. The images reconstructed by the two algorithms with/without correction are presented. A region of interest analysis is used to evaluate the results from two algorithms and their advantages and disadvantages are discussed. The quantitative capability is better when the image is reconstructed using the iterative method along with a beam hardening correction.
定量计算机断层扫描提供了最准确的骨密度测量形式。当与微计算机断层扫描(microCT)一起使用时,它在多个应用中非常有用。本研究的目的是使用自制的microCT评估迭代重建和解析重建在有无基于能量的束硬化校准情况下的定量能力。由于microCT中的X射线源是多能的,并且线性衰减系数随X射线光子的能量而变化,本研究提出了一种解决多能效应的特定校正方法。然后,使用最大似然算法和T-FDK算法从有序子集重建线性衰减系数的三维分布。这两种算法都是为锥束microCT开发的。展示了通过这两种算法在有无校正情况下重建的图像。使用感兴趣区域分析来评估两种算法的结果,并讨论它们的优缺点。当使用迭代方法并结合束硬化校正来重建图像时,定量能力更好。