A rapid, accurate image simulation strategy for mega-voltage cone-beam computed tomography.
A rapid, accurate image simulation strategy for mega-voltage cone-beam computed tomography.
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DOI：
10.1088/1361-6560/ab868a
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发表时间：
2020-07-06
影响因子：
3.5
通讯作者：
中科院分区：
文献类型：
--
作者：
使用蒙特卡罗（MC）技术模拟电子射野成像设备（EPID）的图像需要大量的计算时间，限制了与EPID相关的应用的开发，例如兆压锥形束计算机断层扫描（MV-CBCT）。在本研究中，开发并验证了一种利用 FastEPID 技术进行 MV-CBCT 的快速、准确的模拟策略。在 FastEPID 模拟期间，光子检测由预先计算的光子能量沉积效率 (η) 确定，并且 EPID 内的粒子传输由预先计算的光学光子扩散函数取代。该方法能够将 EPID 图像模拟所需的时间减少 90-140 倍，而不会影响图像质量。根据 FastEPID 模拟投影重建的 MV-CBCT 图像已根据平均亨斯菲尔德单位 (HU)、噪声和拔罐伪影的测量进行了验证。这些图像是使用 Catphan 604 体模和拟人骨盆体模在 2.5 MV、6 MV 和 6 MV 无平坦滤波器的治疗光束能量下获得的。在所有情况下，测量和模拟之间的一致性都非常好。这种新颖的策略能够将在 CPU 集群上执行的 MV-CBCT 全扫描模拟的运行时间缩短到几个小时，而不是传统方法所需的几周或几个月。与 MV-CBCT 相关的多种应用（例如成像仪设计优化）预计将从这种新颖的模拟策略的实施中获益。
Intensive computation time is required to simulate images of electronic portal imaging device (EPID) using Monte Carlo (MC) technique, limiting the development of applications associated with EPID, such as mega-voltage cone-beam computed tomography (MV-CBCT). In this study, a fast, accurate simulation strategy for MV-CBCT utilizing the FastEPID technique has been developed and validated. During FastEPID simulation, photon detection was determined by pre-calculated photon energy deposition efficiency (η) and particle transport within the EPID was replaced with a pre-calculated optical photon spread function. This method is capable of reducing the time required for EPID image simulation by a factor of 90–140, without compromising image quality. MV-CBCT images reconstructed from the FastEPID simulated projections have been validated against measurement in terms of mean Hounsfield unit (HU), noise, and cupping artifact. These images were obtained with both a Catphan 604 phantom and an anthropomorphic pelvis phantom, under treatment beam energies of 2.5 MV, 6 MV, and 6 MV flattening filter free. The agreement between measurement and simulation was excellent in all cases. This novel strategy was capable of reducing the run time of a full scan simulation of MV-CBCT performed on a CPU cluster to a matter of hours, rather than weeks or months required by a conventional approach. Multiple applications associated with MV-CBCT (e.g. imager design optimization) are anticipated to gain from the implementation of this novel simulation strategy.
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影响因子：
3.8
作者：
Munro, P;Bouius, DC
通讯作者：
Bouius, DC
影响因子：
3.5
作者：
Jan, S.;Benoit, D.;Buvat, I.
通讯作者：
Buvat, I.
影响因子：
3.8
作者：
Kausch, C;Schreiber, B;Dössel, O
通讯作者：
Dössel, O
影响因子：
3.5
作者：
Bush, K.;Zavgorodni, S. F.;Beckham, W. A.
通讯作者：
Beckham, W. A.
影响因子：
1.2
作者：
Morin, O;Gillis, A;Pouliot, J
通讯作者：
Pouliot, J