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基于数据驱动的新一代直线加速器快速 4D 锥形束 CT 重建。

Data-driven rapid 4D cone-beam CT reconstruction for new generation linacs.

机构信息

Faculty of Medicine and Health, Image X Institute, University of Sydney, Darlington, New South Wales, Australia.

Medical Radiations, School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria 3001, Australia.

出版信息

Phys Med Biol. 2024 Sep 13;69(18). doi: 10.1088/1361-6560/ad780a.

Abstract

Newer generation linear accelerators (Linacs) allow 20 s cone-beam CT (CBCT) acquisition which reduces radiation therapy treatment time. However, the current clinical application of these rapid scans is only 3DCBCT. In this paper we propose a novel data-driven rapid 4DCBCT reconstruction method for new generation linacs.This method relies on estimating the magnitude of the diaphragm motion from an initial 3D reconstruction. This estimated motion is used to linearly approximate a deformation vector field (DVF) for each respiration phase. These DVFs are then used for motion compensated Feldkamp-Davis-Kress (MCFDK) reconstructions. This method, named MCFDK Data Driven (MCFDK-DD), was compared to a MCFDK reconstruction using a prior motion model (MCFDK-Prior), a 3D-FDK reconstruction, and a conventional acquisition (4 mins) conventional reconstruction 4DCBCT (4D-FDK). The data used in this paper were derived from 4DCT volumes from 12 patients from The Cancer Imaging Archives. Image quality was quantified using RMSE of line plots centred on the tumour, tissue interface width (TIW), the mean square error (MSE) and structural similarity index measurement (SSIM).The tumour line plots in the Superior-Inferior direction showed reduced RMSE for the MCFDK-DD compared to the 3D-FDK method, indicating the MCFDK-DD method provided a more accurate tumour location. Similarly, the TIW values from the MCFDK-DD reconstructions (median 8.6 mm) were significantly reduced for the MCFDK-DD method compared to the 3D-FDK reconstructions (median 14.8 mm, (< 0.001). The MCFDK-DD, MCFDK-Prior and 3D-FDK had median MSE values of1.08×10-6mm-1,1.11×10-6mm-1and1.17×10-6mm-1respectively. The corresponding median SSIM values were 0.93, 0.92 and 0.92 respectively indicating the MCFDK-DD had good agreement with the conventional 4D-FDK reconstructions.These results demonstrate the feasibility of creating accurate data-driven 4DCBCT images for rapid scans on new generation linacs. These findings could lead to increased clinical usage of 4D information on newer generation linacs.

摘要

新一代直线加速器(Linac)允许进行 20 秒锥形束 CT(CBCT)采集,从而缩短放射治疗的治疗时间。然而,目前这些快速扫描的临床应用仅为 3D CBCT。在本文中,我们提出了一种新的基于数据驱动的新一代直线加速器快速 4D CBCT 重建方法。该方法依赖于从初始 3D 重建中估计准直器运动的幅度。此估计的运动用于为每个呼吸阶段线性近似变形向量场(DVF)。然后,这些 DVFs 用于运动补偿 Feldkamp-Davis-Kress(MCFDK)重建。该方法命名为 MCFDK 数据驱动(MCFDK-DD),并与使用先前运动模型(MCFDK-Prior)的 MCFDK 重建、3D-FDK 重建和常规采集(4 分钟)常规重建 4D CBCT(4D-FDK)进行了比较。本文中使用的数据来自来自癌症成像档案中的 12 名患者的 4DCT 容积。使用肿瘤中心的线图 RMSE、组织界面宽度(TIW)、均方误差(MSE)和结构相似性指数测量(SSIM)来量化图像质量。在 Superior-Inferior 方向上的肿瘤线图显示,与 3D-FDK 方法相比,MCFDK-DD 方法的 RMSE 降低,表明 MCFDK-DD 方法提供了更准确的肿瘤位置。同样,MCFDK-DD 重建的 TIW 值(中位数 8.6mm)明显低于 3D-FDK 重建的 TIW 值(中位数 14.8mm,(<0.001)。MCFDK-DD、MCFDK-Prior 和 3D-FDK 的中位 MSE 值分别为 1.08×10-6mm-1、1.11×10-6mm-1 和 1.17×10-6mm-1。相应的中位数 SSIM 值分别为 0.93、0.92 和 0.92,表明 MCFDK-DD 与常规的 4D-FDK 重建具有良好的一致性。这些结果表明,在新一代直线加速器上进行快速扫描时,创建准确的数据驱动 4D CBCT 图像是可行的。这些发现可能会导致在新一代直线加速器上更频繁地使用 4D 信息。

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