Multi-stage 3D-2D registration for correction of anatomical deformation in image-guided spine surgery.
Multi-stage 3D-2D registration for correction of anatomical deformation in image-guided spine surgery.
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DOI：
10.1088/1361-6560/aa6b3e
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发表时间：
2017-06-07
影响因子：
3.5
通讯作者：
Siewerdsen JH
中科院分区：
文献类型：
--
作者：
Ketcha MD;De Silva T;Uneri A;Jacobson MW;Goerres J;Kleinszig G;Vogt S;Wolinsky JP;Siewerdsen JH
提出了一种基于多阶段图像的 3D-2D 配准方法，该方法将 3D 图像中的注释（例如，术前 CT 中注释单个椎骨的点标签）映射到术中 X 光照片，其中患者由于患者体位的变化或干预本身而经历了非刚性解剖变形。所提出的方法（称为 msLevelCheck）扩展了先前的刚性配准解决方案（LevelCheck），以在存在脊柱变形的情况下提供椎骨标签的准确映射。该方法采用多阶段系列的刚性 3D-2D 配准，在自动确定且日益局部化的子图像集上执行，最后阶段实现每个标签的刚性映射，以产生局部刚性但全局可变形的解决方案。该方法首先在一项体模研究中进行了评估，其中采集了脊柱的 CT 图像，然后拍摄了一系列 7 张移动射线照片，并施加了逐渐增加的变形程度。其次，使用胸腰椎手术期间表现出强烈脊柱变形的患者的临床数据集对该方法进行了验证。使用投影距离误差 (PDE) 和失败率（PDE > 20 mm – 即标签在椎骨外部注册）来评估配准精度。 msLevelCheck 方法能够准确记录体模研究中所有变形情况的所有椎骨，将刚性方法的最大 PDE 从 22.4 毫米提高到 3.9 毫米。临床研究通过准确记录每个病例的所有椎骨标签，证明了该方法在真实患者数据中的可行性，消除了传统刚性方法中遇到的所有失败情况。多阶段方法证明了在存在强烈脊柱变形的情况下准确绘制椎骨标签。 msLevelCheck 方法保留了原始 LevelCheck 方法的其他优势方面（例如，与标准临床工作流程的兼容性、大捕获范围以及针对图像内容不匹配的鲁棒性），并将功能扩展到脊柱曲率发生强烈变化的病例。
A multi-stage image-based 3D-2D registration method is presented that maps annotations in a 3D image (e.g., point labels annotating individual vertebrae in preoperative CT) to an intraoperative radiograph in which the patient has undergone non-rigid anatomical deformation due to changes in patient positioning or due to the intervention itself. The proposed method (termed msLevelCheck) extends a previous rigid registration solution (LevelCheck) to provide an accurate mapping of vertebral labels in the presence of spinal deformation. The method employs a multi-stage series of rigid 3D-2D registrations performed on sets of automatically determined and increasingly localized sub-images, with the final stage achieving a rigid mapping for each label to yield a locally rigid yet globally deformable solution. The method was evaluated first in a phantom study in which a CT image of the spine was acquired followed by a series of 7 mobile radiographs with increasing degree of deformation applied. Second, the method was validated using a clinical data set of patients exhibiting strong spinal deformation during thoracolumbar spine surgery. Registration accuracy was assessed using projection distance error (PDE) and failure rate (PDE > 20 mm – i.e., label registered outside vertebra). The msLevelCheck method was able to register all vertebrae accurately for all cases of deformation in the phantom study, improving the maximum PDE of the rigid method from 22.4 mm to 3.9 mm. The clinical study demonstrated the feasibility of the approach in real patient data by accurately registering all vertebral labels in each case, eliminating all instances of failure encountered in the conventional rigid method. The multi-stage approach demonstrated accurate mapping of vertebral labels in the presence of strong spinal deformation. The msLevelCheck method maintains other advantageous aspects of the original LevelCheck method (e.g., compatibility with standard clinical workflow, large capture range, and robustness against mismatch in image content) and extends capability to cases exhibiting strong changes in spinal curvature.
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影响因子：
10.6
作者：
Rivest-Henault, David;Sundar, Hari;Cheriet, Mohamed
通讯作者：
Cheriet, Mohamed
DOI：
10.1002/igs.10034
发表时间：
2002-01-01
期刊：
Computer aided surgery : official journal of the International Society for Computer Aided Surgery
影响因子：
--
作者：
Penney, G P;Little, J A;Hawkes, D J
通讯作者：
Hawkes, D J
强大的3D-2D图像注册：在解剖变形的存在下应用于脊柱干预和椎骨标记。
影响因子：
3.5
作者：
Otake Y;Wang AS;Webster Stayman J;Uneri A;Kleinszig G;Vogt S;Khanna AJ;Gokaslan ZL;Siewerdsen JH
通讯作者：
Siewerdsen JH
使用3D-2D登记：减少错误位点手术的工具，将椎骨荧光镜检查中椎骨水平自动定位。
影响因子：
3.5
作者：
Otake Y;Schafer S;Stayman JW;Zbijewski W;Kleinszig G;Graumann R;Khanna AJ;Siewerdsen JH
通讯作者：
Siewerdsen JH
影响因子：
2.6
作者：
Markley, F. Landis;Oshman, Yaakov
通讯作者：
Oshman, Yaakov