Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China. Department of Radiation Oncology, Washington University, St. Louis, MO 63110 United States of America.
Biomed Phys Eng Express. 2020 Jan 20;6(1):015025. doi: 10.1088/2057-1976/ab693a.
We develop a fully automated QA process to compare the image quality of all kV CBCT protocols on a Halcyon linac with ring gantry design, and evaluate image quality stability over a 10-month period. A total of 19 imaging scan and reconstruction protocols were characterized with measurement on a newly released QUART phantom. A set of image analysis algorithms were developed and integrated into an automated analysis suite to derive key image quality metrics, including HU value accuracy on density inserts, HU uniformity using the background plate, high contrast resolution with the modulation transfer function (MTF) from the edge profiles, low contrast resolution using the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), slice thickness with the air gap modules, and geometric accuracy with the diameter of the phantom. Image quality data over 10 months was tracked and analyzed to evaluate the stability of the Halcyon kV imaging system. The HU accuracy over all 19 protocols is within tolerance (±50HU). The maximum uniformity deviation is 12.2 HU. The SNR and CNR, depending on the protocol selected, range from 18.5-911.9 and 1.9-102.8, respectively. A much-improved SNR and CNR were observed for iterative reconstruction (iCBCT) modes and protocols designed for large subjects over low dose and fast scanning modes. The Head and Image Gently protocols have the greatest high contrast resolution with MTF over 1 lp/mm and MTF over 0.6 lp/mm. The iCBCT mode slightly improved the MTF and MTF compared to the Feldkamp-Davis-Kress approach. The slice thickness (maximum error of 0.31 mm) and geometry metrics (maximum error of 0.7 mm) are all within tolerance (±0.5 mm for slice thickness and ±1 mm for geometry metrics). The long-term study over 10-month showed no significant drift for all key image quality metrics, which indicated the kV CBCT image quality is stable over time.
我们开发了一个全自动 QA 流程,用于比较具有环形机架设计的 Halcyon 直线加速器上的所有千伏锥形束 CT (kV CBCT) 协议的图像质量,并评估了 10 个月期间的图像质量稳定性。使用新发布的 QUART 体模对总共 19 种成像扫描和重建协议进行了特征描述。开发了一组图像分析算法,并将其集成到自动化分析套件中,以得出关键的图像质量指标,包括密度插件上的 HU 值准确性、背景板上的 HU 均匀性、使用边缘轮廓的调制传递函数 (MTF) 的高对比度分辨率、使用信噪比 (SNR) 和对比度噪声比 (CNR) 的低对比度分辨率、使用空气间隙模块的切片厚度以及使用体模直径的几何精度。跟踪和分析了 10 个月的图像质量数据,以评估 Halcyon kV 成像系统的稳定性。所有 19 种协议的 HU 准确性均在公差范围内(±50HU)。最大均匀性偏差为 12.2 HU。根据所选协议,SNR 和 CNR 范围分别为 18.5-911.9 和 1.9-102.8。迭代重建 (iCBCT) 模式和专为大对象设计的低剂量和快速扫描模式的协议观察到 SNR 和 CNR 有了很大提高。Head 和 Image Gently 协议具有最高的高对比度分辨率,MTF 超过 1 lp/mm,MTF 超过 0.6 lp/mm。与 Feldkamp-Davis-Kress 方法相比,iCBCT 模式略微提高了 MTF 和 MTF。切片厚度(最大误差为 0.31 毫米)和几何精度(最大误差为 0.7 毫米)均在公差范围内(切片厚度为±0.5 毫米,几何精度为±1 毫米)。经过 10 个月的长期研究,所有关键图像质量指标均无明显漂移,表明 kV CBCT 图像质量随时间稳定。