Huang Hsuan-Ming, Hsiao Ing-Tsung
Medical Physics Research Center, Institute of Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan City, Taiwan.
Department of Nuclear Medicine and Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan City, Taiwan.
PLoS One. 2016 Apr 13;11(4):e0153421. doi: 10.1371/journal.pone.0153421. eCollection 2016.
In recent years, there has been increased interest in low-dose X-ray cone beam computed tomography (CBCT) in many fields, including dentistry, guided radiotherapy and small animal imaging. Despite reducing the radiation dose, low-dose CBCT has not gained widespread acceptance in routine clinical practice. In addition to performing more evaluation studies, developing a fast and high-quality reconstruction algorithm is required. In this work, we propose an iterative reconstruction method that accelerates ordered-subsets (OS) reconstruction using a power factor. Furthermore, we combine it with the total-variation (TV) minimization method. Both simulation and phantom studies were conducted to evaluate the performance of the proposed method. Results show that the proposed method can accelerate conventional OS methods, greatly increase the convergence speed in early iterations. Moreover, applying the TV minimization to the power acceleration scheme can further improve the image quality while preserving the fast convergence rate.
近年来，低剂量X射线锥形束计算机断层扫描（CBCT）在包括牙科、引导放疗和小动物成像在内的许多领域引起了越来越多的关注。尽管降低了辐射剂量，但低剂量CBCT在常规临床实践中尚未得到广泛应用。除了进行更多的评估研究外，还需要开发一种快速且高质量的重建算法。在这项工作中，我们提出了一种迭代重建方法，该方法使用功率因子加速有序子集（OS）重建。此外，我们将其与总变差（TV）最小化方法相结合。进行了模拟和体模研究以评估所提出方法的性能。结果表明，所提出的方法可以加速传统的OS方法，在早期迭代中大大提高收敛速度。此外，将TV最小化应用于功率加速方案可以在保持快速收敛速度的同时进一步提高图像质量。
