ACRF Image X Institute, The University of Sydney, Eveleigh, NSW 2015, Australia.
Sydney Neuroimaging Analysis Centre, Camperdown, NSW 2050, Australia.
Phys Med Biol. 2021 May 14;66(10). doi: 10.1088/1361-6560/abf9dd.
Fixed-gantry radiation therapy has been proposed as a low-cost alternative to the conventional rotating-gantry radiation therapy, that may help meet the rising global treatment demand. Fixed-gantry systems require gravitational motion compensated reconstruction algorithms to produce cone-beam CT (CBCT) images of sufficient quality for image guidance. The aim of this work was to adapt and investigate five CBCT reconstruction algorithms for fixed-gantry CBCT images. The five algorithms investigated were Feldkamp-Davis-Kress (FDK), prior image constrained compressed sensing (PICCS), gravitational motion compensated FDK (GMCFDK), motion compensated PICCS (MCPICCS) (a novel CBCT reconstruction algorithm) and simultaneous motion estimation and iterative reconstruction (SMEIR). Fixed-gantry and rotating-gantry CBCT scans were acquired of 3 rabbits, with the rotating-gantry scans used as a reference. Projections were sorted into rotation bins, based on the angle of rotation of the rabbit during image acquisition. The algorithms were compared using the structural similarity index measure root mean square error, and reconstruction time. Evaluation of the reconstructed volumes showed that, when compared with the reference rotating-gantry volume, the conventional FDK algorithm did not accurately reconstruct fixed-gantry CBCT scans. Whilst the PICCS reconstruction algorithm reduced some motion artefacts, the motion estimation reconstruction methods (GMCFDK, MCPICCS and SMEIR) were able to greatly reduce the effect of motion artefacts on the reconstructed volumes. This finding was verified quantitatively, with GMCFDK, MCPICCS and SMEIR reconstructions having RMSE 17%-19% lower and SSIM 1% higher than a conventional FDK. However, all motion compensated fixed-gantry CBCT reconstructions had a 56%-61% higher RMSE and 1.5% lower SSIM than FDK reconstructions of conventional rotating-gantry CBCT scans. The results show that motion compensation is required to reduce motion artefacts for fixed-gantry CBCT reconstructions. This paper further demonstrates the feasibility of fixed-gantry CBCT scans, and the ability of CBCT reconstruction algorithms to compensate for motion due to horizontal rotation.
固定龙门放射治疗已被提议作为传统旋转龙门放射治疗的低成本替代方案,这可能有助于满足全球不断增长的治疗需求。固定龙门系统需要重力运动补偿重建算法来生成足够质量的锥形束 CT(CBCT)图像,以便进行图像引导。本工作的目的是适应和研究用于固定龙门 CBCT 图像的五种 CBCT 重建算法。研究的五种算法是 Feldkamp-Davis-Kress(FDK)、先验图像约束压缩感知(PICCS)、重力运动补偿 FDK(GMCFDK)、运动补偿 PICCS(MCPICCS)(一种新型 CBCT 重建算法)和同时运动估计和迭代重建(SMEIR)。对 3 只兔子进行了固定龙门和旋转龙门 CBCT 扫描,以旋转龙门扫描作为参考。根据兔子在图像采集过程中的旋转角度,将投影分类到旋转箱中。使用结构相似性指数测量均方根误差和重建时间来比较算法。对重建体积的评估表明,与参考旋转龙门体积相比,传统的 FDK 算法不能准确重建固定龙门 CBCT 扫描。虽然 PICCS 重建算法减少了一些运动伪影,但运动估计重建方法(GMCFDK、MCPICCS 和 SMEIR)能够大大减少运动伪影对重建体积的影响。通过定量验证了这一发现,与传统的 FDK 相比,GMCFDK、MCPICCS 和 SMEIR 重建的 RMSE 低 17%-19%,SSIM 高 1%。然而,所有运动补偿的固定龙门 CBCT 重建的 RMSE 比传统旋转龙门 CBCT 扫描的 FDK 重建高 56%-61%,SSIM 低 1.5%。结果表明,对于固定龙门 CBCT 重建,需要运动补偿来减少运动伪影。本文进一步证明了固定龙门 CBCT 扫描的可行性,以及 CBCT 重建算法补偿水平旋转引起的运动的能力。