Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Int J Comput Assist Radiol Surg. 2018 Oct;13(10):1481-1495. doi: 10.1007/s11548-018-1782-y. Epub 2018 May 8.
Cone beam computed tomography (CBCT) systems offer physicians crucial 3D and 2D imaging capabilities during interventions. However, certain medical applications only require very specific information from the CBCTs (e.g., determination of the position of high-contrast objects). In diagnostics, tomosynthesis techniques can be used in these cases to minimize dose exposure. Therefore, integrating such techniques on CBCT systems could also be beneficial for interventions. In this paper, we investigate the performance of our implementation of circular tomosynthesis on a CBCT device.
The tomosynthesis scan trajectory is realized with step-and-shoot on a clinical C-arm device. The online calibration algorithm uses conventionally acquired 3D CBCT of the scanned object as prior knowledge to correct the imaging geometries. The online calibration algorithm was compared to an offline calibration to test its performance. A ball bearing phantom was used to evaluate the reconstructions with respect to geometric distortions. The evaluation was done for three different scenarios to test the robustness of our tomosynthesis implementation against object deviations (e.g., pen) and different object positioning.
The circular tomosynthesis was tested on a ball bearing and an anthropomorphic phantom. The results show that the calibration is robust against isocenter shifts and object deviations in the CBCT. All reconstructions used 100 projections and displayed limited angle artifacts. The accuracy of the positions and shapes of high-contrast objects were, however, determined precisely. (The maximal center position deviation is 0.31 mm.) CONCLUSION: For medical procedures that primarily determine the precise position of high-contrast objects, circular tomosynthesis could offer an approach to reduce dose exposure.
锥形束计算机断层扫描(CBCT)系统在介入治疗期间为医生提供了关键的三维和二维成像功能。然而,某些医学应用仅需要 CBCT 提供非常特定的信息(例如,确定高对比度物体的位置)。在诊断中,在这些情况下可以使用断层合成技术来最小化剂量暴露。因此,在 CBCT 系统上集成此类技术也可能对干预有益。在本文中,我们研究了在 CBCT 设备上实现圆形断层合成的性能。
断层合成扫描轨迹通过在临床 C 臂设备上进行分步和拍摄来实现。在线校准算法使用常规获取的被扫描物体的三维 CBCT 作为先验知识来校正成像几何形状。将在线校准算法与离线校准进行比较,以测试其性能。使用球轴承体模评估重建结果的几何变形。进行了三种不同情况的评估,以测试我们的断层合成实现对物体偏差(例如,笔)和不同物体定位的稳健性。
在球轴承和人体模型体模上测试了圆形断层合成。结果表明,该校准对 CBCT 中的等中心移位和物体偏差具有稳健性。所有重建均使用 100 个投影,显示有限角度伪影。然而,高对比度物体的位置和形状的准确性得到了精确确定。(最大中心位置偏差为 0.31 毫米。)
对于主要确定高对比度物体精确位置的医疗程序,圆形断层合成可能提供一种降低剂量暴露的方法。