Computed Tomography Division, Siemens Healthineers, Forchheim, Germany.
Invest Radiol. 2018 Nov;53(11):641-646. doi: 10.1097/RLI.0000000000000482.
The aim of this study was to evaluate the accuracy of a 3-dimensional (3D) camera algorithm for automatic and individualized patient positioning based on body surface detection and to compare the results of the 3D camera with manual positioning performed by technologists in routinely obtained chest and abdomen computed tomography (CT) examinations.
This study included data of 120 patients undergoing clinically indicated chest (n = 68) and abdomen (n = 52) CT. Fifty-two of the patients were scanned with CT using a table height manually selected by technologists; 68 patients were automatically positioned with the 3D camera, which is based on patient-specific body surface and contour detection. The ground truth table height (TGT) was defined as the table height that aligns the axial center of the patient's body region in the CT scanner isocenter. Off-centering was defined as the difference between the ground truth table height (TGT) and the actual table position used in all CT examinations. The t test was performed to determine significant differences in the vertical offset between automatic and manual positioning. The χ test was used to check whether there was a relationship between patient size and the magnitude of off-centering.
We found a significant improvement in patient centering (offset 5 ± 3 mm) when using the automatic positioning algorithm with the 3D camera compared with manual positioning (offset 19 ± 10 mm) performed by technologists (P < 0.005). Automatic patient positioning based on the 3D camera reduced the average offset in vertical table position from 19 mm to 7 mm for chest and from 18 mm to 4 mm for abdomen CT. The absolute maximal offset was 39 mm and 43 mm for chest and abdomen CT, respectively, when patients were positioned manually, whereas with automatic positioning using the 3D camera the offset never exceeded 15 mm. In chest CT performed with manual patient positioning, we found a significant correlation between vertical offset greater than 20 mm and patient size (body mass index, >26 kg/m, P < 0.001). In contrast, no such relationship was found for abdomen CT (P = 0.38).
Automatic individualized patient positioning using a 3D camera allows for accurate patient centering as compared with manual positioning, which improves radiation dose utilization.
本研究旨在评估基于体表面检测的三维(3D)相机自动个体化患者定位算法的准确性,并比较 3D 相机与技术员在常规胸部和腹部计算机断层扫描(CT)检查中进行的手动定位的结果。
本研究纳入了 120 例行临床胸部(n=68)和腹部(n=52)CT 检查的患者的数据。52 例患者采用技术员手动选择的台面高度进行 CT 扫描;68 例患者采用基于患者特定体表面和轮廓检测的 3D 相机自动定位。真实台面高度(TGT)定义为将患者身体区域的轴向中心与 CT 扫描仪等中心对齐的台面高度。偏心定义为真实台面高度(TGT)与所有 CT 检查中实际使用的台面位置之间的差异。采用 t 检验确定自动与手动定位的垂直偏差是否存在显著差异。采用卡方检验检查患者体型与偏心程度之间是否存在关系。
与技术员手动定位(19±10mm)相比,使用 3D 相机的自动定位算法可显著改善患者的中心定位(偏差 5±3mm)(P<0.005)。基于 3D 相机的自动患者定位将胸部 CT 的平均垂直台面位置偏差从 19mm 降低至 7mm,将腹部 CT 的平均垂直台面位置偏差从 18mm 降低至 4mm。当患者采用手动定位时,胸部和腹部 CT 的最大绝对偏差分别为 39mm 和 43mm,而使用 3D 相机的自动定位时,偏差从未超过 15mm。在采用手动患者定位的胸部 CT 中,我们发现垂直偏差大于 20mm 与患者体型(体重指数,>26kg/m2,P<0.001)之间存在显著相关性。相比之下,腹部 CT 中未发现这种相关性(P=0.38)。
与手动定位相比,使用 3D 相机的自动个体化患者定位可实现更准确的患者定位,从而提高辐射剂量利用率。