Medical Imaging and Navigation in Trauma and Orthopaedic Surgery, BG Trauma Center Ludwigshafen at Heidelberg University Hospital, Ludwig-Guttmann-Str. 13, 67071, Ludwigshafen, Germany.
J Digit Imaging. 2020 Oct;33(5):1136-1143. doi: 10.1007/s10278-020-00324-2.
The aim of our study was to evaluate whether software-based artifact reduction can achieve an improved image quality, using intraoperative 3D imaging in spinal surgery. A total of 49 intraoperative 3D image datasets of patients, who underwent surgery with pedicle screw placement, were retrospectively evaluated. The visibility of anatomical structures and the diameter of the pedicle screws were examined, with and without the application of the artifact reduction software. All software prototypes can improve the visibility of anatomical structures (P < 0.01), except MAR (metal artifact reduction) combined with IRIS (iterative reconstruction in image space) (P = 0.04). The algorithms MAR and MAR-2 can reduce the blooming artifacts significantly (P < 0.01), but SL (Shepp & Logan) cannot (P = 0.08-0.988). In summary, software-based artifact reduction for intraoperative 3D datasets can improve the current image quality. Additional information regarding the implant placement and the fracture reduction is therefore generated for the surgeon.
我们的研究目的是评估术中 3D 成像中使用基于软件的伪影减少技术是否可以提高图像质量。回顾性评估了 49 例接受经皮椎弓根螺钉置入术的患者的术中 3D 图像数据集。检查了有无应用伪影减少软件时解剖结构的可见度和椎弓根螺钉的直径。所有软件原型都可以提高解剖结构的可见度（P < 0.01），但金属伪影减少（MAR）与图像空间迭代重建（IRIS）结合使用时除外（P = 0.04）。MAR 和 MAR-2 算法可以显著减少晕影伪影（P < 0.01），但 Shepp-Logan（SL）算法不行（P = 0.08-0.988）。总之，术中 3D 数据集的基于软件的伪影减少技术可以提高当前的图像质量。因此，为外科医生生成了有关植入物放置和骨折复位的更多信息。
