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Deformable Image Registration with Local Rigidity Constraints for Cone-Beam CT Guided Spine Surgery

机译:具有局部刚度约束的锥束CT引导脊柱外科手术的可变形图像配准

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摘要

Image-guided spine surgery is associated with reduced co-morbidity and improved surgical outcome. However, precise localization of target anatomy and adjacent nerves and vessels relative to planning information (e.g., device trajectories) can be challenged by anatomical deformation. Rigid registration alone fails to account for deformation associated with changes in spine curvature, and conventional deformable registration fails to account for rigidity of the vertebrae, causing unrealistic distortions in the registered image that can confound high-precision surgery. We developed and evaluated a deformable registration method capable of preserving rigidity of bones while resolving the deformation of surrounding soft tissue. The method aligns preoperative CT to intraoperative CBCT using free-form deformation (FFD) with constraints on rigid body motion imposed according to a simple intensity threshold of bone intensities. The constraints enforced 3 properties of a rigid transformation – namely, constraints on affinity (AC), orthogonality (OC), and properness (PC). The method also incorporated an injectivity constraint (IC) to preserve topology. Physical experiments involving phantoms, an ovine spine, and a human cadaver as well as digital simulations were performed to evaluate the sensitivity to registration parameters, preservation of rigid body morphology, and overall registration accuracy of constrained FFD in comparison to conventional unconstrained FFD (denoted uFFD) and Demons registration. FFD with orthogonality and injectivity constraints (denoted FFD+OC+IC) demonstrated improved performance compared to uFFD and Demons. Affinity and properness constraints offered little or no additional improvement. The FFD+OC+IC method preserved rigid body morphology at near-ideal values of zero dilatation (𝒟 = 0.05, compared to 0.39 and 0.56 for uFFD and Demons, respectively) and shear (𝒮 = 0.08, compared to 0.36 and 0.44 for uFFD and Demons, respectively). Target registration error (TRE) was similarly improved for FFD+OC+IC (0.7 mm), compared to 1.4 and 1.8 mm for uFFD and Demons. Results were validated in human cadaver studies using CT and CBCT images, with FFD+OC+IC providing excellent preservation of rigid morphology and equivalent or improved TRE. The approach therefore overcomes distortions intrinsic to unconstrained FFD and could better facilitate high-precision image-guided spine surgery.
机译:影像引导脊柱手术可减少合并症并改善手术效果。但是,相对于计划信息(例如,设备轨迹)的目标解剖结构和相邻神经和血管的精确定位可能会受到解剖结构变形的挑战。单独的刚性配准不能解决与脊柱曲率变化相关的变形,而传统的可变形配准不能解决椎骨的刚度,从而导致配准图像中出现不切实际的变形,从而可能混淆高精度手术。我们开发并评估了一种可变形的定位方法,该方法能够解决骨骼周围软组织的变形,同时保持骨骼的刚度。该方法使用自由形式变形(FFD)将术前CT与术中CBCT对齐,并根据简单的骨骼强度强度阈值施加对刚体运动的限制。约束强制执行刚性变换的3个属性-即对亲和力(AC),正交性(OC)和适当性(PC)的约束。该方法还合并了注入约束(IC)以保留拓扑。与传统的无约束FFD(表示为uFFD)相比,进行了涉及幻影,绵羊脊柱和人类尸体的物理实验以及数字仿真,以评估对约束参数的敏感性,刚体形态的保留以及约束FFD的整体配准精度)和恶魔注册。与uFFD和Demons相比,具有正交性和内射性约束的FFD(表示为FFD + OC + IC)表现出更高的性能。亲和力和适当性约束几乎没有或没有其他改进。 FFD + OC + IC方法将刚体形态保持在零膨胀的理想值(𝒟 = 0.05,而uFFD和Demons分别为0.39和0.56)和剪切力(𝒮 = 0.08,相比分别为uFFD和恶魔的0.36和0.44)。 FFD + OC + IC(0.7 mm)的目标配准误差(TRE)类似地得到了改善,而uFFD和Demons的目标配准误差(TRE)为1.4和1.8 mm。使用CT和CBCT图像在人类尸体研究中验证了结果,FFD + OC + IC提供了出色的刚性形态保存以及等效或改进的TRE。因此,该方法克服了不受约束的FFD固有的变形,可以更好地促进高精度的图像引导脊柱手术。

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