Data-Driven Deformable 3D-2D Registration for Guiding Neuroelectrode Placement in Deep Brain Stimulation.
Data-Driven Deformable 3D-2D Registration for Guiding Neuroelectrode Placement in Deep Brain Stimulation.
复制标题
数据驱动的可变形 3D-2D 配准，用于指导深部脑刺激中神经电极的放置。
DOI：
10.1117/12.2582160
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Siewerdsen,JH
中科院分区：
文献类型：
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作者：
Uneri,A;Wu,P;Jones,CK;Ketcha,MD;Vagdargi,P;Han,R;Helm,PA;Luciano,M;Anderson,WS;Siewerdsen,JH
目的。脑深部刺激是一种神经外科手术，用于治疗越来越多的运动障碍。然而，电极放置的不准确可能导致症状控制不佳或不良影响，并混淆临床结果的可变性。为实现神经电极的高精度三维引导，提出了一种可变形的3D-2D配准方法。该方法采用一种基于模型的、可变形的3D-2D图像配准算法。引线设计中的变化被捕获在基于B-Spline曲线的参数化三维模型中。配准是通过迭代优化16个自由度来解决的，最大限度地提高获取的2张X线片和神经电极模型的模拟正投影之间的图像相似性。该方法在体模模型中根据相关的成像参数进行了评估，包括视角的选择和成像剂量。结果表明，单个电极的三维定位精度为(0.2±0.2)mm。观察到该溶液对相关成像参数的变化具有很强的耐受性，这些参数在≥20°视野间隔下显示出准确的定位，而剂量仅为标准透视框架的1/10。所提出的方法提供了从2个低剂量放射图像中引导神经电极放置的方法，以适应目标解剖部位的潜在变形。未来的工作将集中在通过基于学习的初始化来改善运行时间，在减少重建金属伪影方面的应用，以及正在进行的IRB研究的临床数据中的广泛评估。
Purpose. Deep brain stimulation is a neurosurgical procedure used in treatment of a growing spectrum of movement disorders. Inaccuracies in electrode placement, however, can result in poor symptom control or adverse effects and confound variability in clinical outcomes. A deformable 3D-2D registration method is presented for high-precision 3D guidance of neuroelectrodes.Methods. The approach employs a model-based, deformable algorithm for 3D-2D image registration. Variations in lead design are captured in a parametric 3D model based on a B-spline curve. The registration is solved through iterative optimization of 16 degrees-of-freedom that maximize image similarity between the 2 acquired radiographs and simulated forward projections of the neuroelectrode model. The approach was evaluated in phantom models with respect to pertinent imaging parameters, including view selection and imaging dose.Results. The results demonstrate an accuracy of (0.2 ± 0.2) mm in 3D localization of individual electrodes. The solution was observed to be robust to changes in pertinent imaging parameters, which demonstrate accurate localization with ≥20° view separation and at 1/10th the dose of a standard fluoroscopy frame.Conclusions. The presented approach provides the means for guiding neuroelectrode placement from 2 low-dose radiographic images in a manner that accommodates potential deformations at the target anatomical site. Future work will focus on improving runtime though learning-based initialization, application in reducing reconstruction metal artifacts for 3D verification of placement, and extensive evaluation in clinical data from an IRB study underway.