Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China.
Shenzhen Colleges of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, Guangdong, 518055, China.
Med Phys. 2019 Jul;46(7):3165-3179. doi: 10.1002/mp.13568. Epub 2019 Jun 1.
Scatter contamination in the cone-beam CT (CBCT) leads to CT number inaccuracy, spatial nonuniformity, and loss of image contrast. In our previous work, we proposed a single scan scatter correction approach using a stationary partial beam blocker. Although the previous method works effectively on a tabletop CBCT system, it fails to achieve high image quality on a clinical CBCT system mainly due to the wobble of the LINAC gantry during scan acquisition. Due to the mechanical deformation of CBCT gantry, the wobbling effect is observed in the clinical CBCT scan, and more missing data present using the previous blocker with the uniformly distributed lead strips.
An optimal blocker distribution is proposed to minimize the missing data. In the objective function of the missing data, the motion of the beam blocker in each projection is estimated using the segmentation due to its high contrast in the blocked area. The scatter signals from the blocker are also estimated using an air scan with the inserted blocker. The final image is generated using the forward projection to compensate for the missing data.
On the Catphan©504 phantom, our approach reduces the average CT number error from 86 Hounsfield unit (HU) to 9 HU and improves the image contrast by a factor of 1.45 in the high-contrast rods. On a head patient, the CT number error is reduced from 97 HU to 6 HU in the soft-tissue region and the image spatial nonuniformity is decreased from 27% to 5%.
The results suggest that the proposed method is promising for clinical applications.
锥束 CT(CBCT)中的散射污染会导致 CT 值不准确、空间不均匀和图像对比度降低。在我们之前的工作中,我们提出了一种使用固定部分射束阻挡器的单次扫描散射校正方法。虽然该方法在台式 CBCT 系统上效果显著,但在临床 CBCT 系统上无法实现高质量的图像,主要原因是在扫描采集过程中 LINAC 龙门架的摆动。由于 CBCT 龙门架的机械变形,在临床 CBCT 扫描中观察到摆动效应,并且使用带有均匀分布的铅条的先前阻挡器会出现更多的缺失数据。
提出了一种最优的阻挡器分布方法,以最小化缺失数据。在缺失数据的目标函数中,使用分割来估计射束阻挡器在每个投影中的运动,因为在阻挡区域中其对比度较高。还使用插入阻挡器的空气扫描来估计来自阻挡器的散射信号。最后使用正向投影生成图像以补偿缺失的数据。
在 Catphan©504 体模上,我们的方法将平均 CT 值误差从 86 个亨氏单位(HU)降低到 9 HU,并将高对比度棒的图像对比度提高了 1.45 倍。在头部患者中,软组织区域的 CT 值误差从 97 HU 降低到 6 HU,图像空间不均匀性从 27%降低到 5%。
结果表明,该方法有望应用于临床。