Modelling the physics in the iterative reconstruction for transmission computed tomography.
Modelling the physics in the iterative reconstruction for transmission computed tomography.
复制标题
DOI：
10.1088/0031-9155/58/12/r63
复制
发表时间：
2013-06-21
影响因子：
3.5
通讯作者：
Beekman FJ
中科院分区：
文献类型：
--
作者：
Nuyts J;De Man B;Fessler JA;Zbijewski W;Beekman FJ
迭代重建（IR）作为提高x射线CT成像质量和适用性的关键工具，受到越来越多的关注。红外具有显著降低患者剂量的能力，它提供了从任意x射线系统几何形状重建图像的灵活性，它允许包括光子传输和检测物理的详细模型，以准确地纠正各种各样的图像退化效应。本文综述了有限空间分辨率的离散化问题和建模，扫描对象中的康普顿散射，数据噪声和能谱。然而，广泛实施基于高精度模型的红外校正仍然需要大量的努力。此外，新的硬件将为通过新的建模来改进CT提供新的机遇和挑战。
There is an increasing interest in iterative reconstruction (IR) as a key tool to improve quality and increase applicability of X-ray CT imaging. IR has the ability to significantly reduce patient dose, it provides the flexibility to reconstruct images from arbitrary X-ray system geometries and it allows to include detailed models of photon transport and detection physics, to accurately correct for a wide variety of image degrading effects. This paper reviews discretisation issues and modelling of finite spatial resolution, Compton scatter in the scanned object, data noise and the energy spectrum. Widespread implementation of IR with highly accurate model-based correction, however, still requires significant effort. In addition, new hardware will provide new opportunities and challenges to improve CT with new modelling.