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Automatic standard plane adjustment on mobile C-Arm CT images of the calcaneus using atlas-based feature registration

机译:使用基于图集的特征配准对跟骨的移动C型臂CT图像进行自动标准平面调整

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Intraarticular fractures of the calcaneus are routinely treated by open reduction and internal fixation followed by intraoperative imaging to validate the repositioning of bone fragments. C-Arm CT offers surgeons the possibility to directly verify the alignment of the fracture parts in 3D. Although the device provides more mobility, there is no sufficient information about the device-to-patient orientation for standard plane reconstruction. Hence, physicians have to manually align the image planes in a position that intersects with the articular surfaces. This can be a time-consuming step and imprecise adjustments lead to diagnostic errors. We address this issue by introducing novel semi-/automatic methods for adjustment of the standard planes on mobile C-Arm CT images. With the semi-automatic method, physicians can quickly adjust the planes by setting six points based on anatomical landmarks. The automatic method reconstructs the standard planes in two steps, first SURF keypoints (2D and newly introduced pseudo-3D) are generated for each image slice; secondly, these features are registered to an atlas point set and the parameters of the image planes are transformed accordingly. The accuracy of our method was evaluated on 51 mobile C-Arm CT images from clinical routine with manually adjusted standard planes by three physicians of different expertise. The average time of the experts (46s) deviated from the intermediate user (55s) by 9 seconds. By applying 2D SURF keypoints 88% of the articular surfaces were intersected correctly by the transformed standard planes with a calculation time of 10 seconds. The pseudo-3D features performed even better with 91% and 8 seconds.
机译:跟骨关节内骨折通常通过切开复位内固定治疗,然后进行术中影像检查以验证骨碎片的复位。 C-Arm CT为外科医生提供了直接验证3D骨折部位对齐方式的可能性。尽管设备提供了更大的移动性,但是对于标准平面重建,没有足够的有关设备到患者方向的信息。因此,医生必须手动将图像平面对准与关节表面相交的位置。这可能是一个耗时的步骤,调整不精确会导致诊断错误。我们通过介绍新颖的半自动方法来调整移动C型臂CT图像上的标准平面来解决此问题。使用半自动方法,医生可以通过基于解剖界标设置六个点来快速调整平面。自动方法分两步重建标准平面,首先为每个图像切片生成SURF关键点(2D和新引入的伪3D);其次,将这些特征注册到地图集点集,并相应地转换像平面的参数。我们的方法的准确度是由三位不同专业的医师根据手动调整的标准平面从临床程序中获得的51张移动C型臂CT图像进行评估。专家(46s)的平均时间偏离中级用户(55s)的时间为9秒。通过应用2D SURF关键点,经过转换的标准平面正确地相交了88%的关节表面,计算时间为10秒。伪3D功能在91%和8秒的时间内表现更好。

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