A level-wise spine registration framework to account for large pose changes.
A level-wise spine registration framework to account for large pose changes.
复制标题
一个水平方向的脊柱配准框架，以解决大的姿势变化。
DOI：
10.1007/s11548-021-02395-0
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发表时间：
2021-06
影响因子：
3
通讯作者：
Ji S
中科院分区：
文献类型：
--
作者：
Cai Y;Wu S;Fan X;Olson J;Evans L;Lollis S;Mirza SK;Paulsen KD;Ji S
准确、高效的脊柱配准是脊柱图像引导成功的关键。然而，脊柱姿势的变化会导致椎间运动，这可能导致严重的配准误差。在这项研究中，我们开发了一种几何校正技术，通过非线性主成分分析（NLPCA），以实现水平的脊椎配准，是强大的脊柱姿势的大变化。我们用猪脊骨和生猪来开发和测试我们的技术。在初始姿势下使用术前CT（pCT）扫描每个样本，并在不同手术姿势下使用术中立体视觉（iSV）重新扫描。患者配准通过参数化移动帧方法将pCT和iSV中的任意脊柱姿势纠正为常见的中性姿势。然后生成拓扑编码的深度投影2D图像以建立可逆的点到像素对应关系。通过2D图像配准生成pCT和iSV椎体表面之间的水平点对应。最后，通过直接映射3D表面点对，获得闭合形式的椎骨水平刚性配准。植入的微型螺钉用作基准标记，以测量配准精度。在7个固定的猪脊柱和2个活体动物手术中（所有脊柱的最大脊柱内姿势变化为87.5 mm和32.7度），平均目标配准误差（TRE）分别为1.70±0.15 mm和1.85±0.16 mm。自动脊柱矫正需要3-5分钟，然后额外30秒用于深度图像投影和水平配准。所提出的水平方向脊柱配准的准确性和效率支持其在人类开放性脊柱手术中的应用。配准框架本身也可以适用于其他术中成像模态，例如超声和MRI，这可以扩展该方法在脊柱配准中的一般效用。
Accurate and efficient spine registration is crucial to success of spine image-guidance. However, changes in spine pose cause intervertebral motion that can lead to significant registration errors. In this study, we develop a geometrical rectification technique via non-linear principal component analysis (NLPCA) to achieve level-wise vertebral registration that is robust to large changes in spine pose. We used explanted porcine spines and live pigs to develop and test our technique. Each sample was scanned with pre-operative CT (pCT) in an initial pose, and re-scanned with intraoperative stereovision (iSV) in a different surgical posture. Patient registration rectified arbitrary spinal postures in pCT and iSV into a common, neutral pose through a parameterized moving-frame approach. Topologically encoded depth projection 2D images were then generated to establish invertible point-to-pixel correspondences. Level-wise point correspondences between pCT and iSV vertebral surfaces were generated via 2D image registration. Finally, closed-form vertebral level-wise rigid registration was obtained by directly mapping 3D surface point pairs. Implanted mini screws were used as fiducial markers to measure registration accuracy. In 7 explanted porcine spines and 2 live animal surgeries (maximum in-spine pose change of 87.5 mm and 32.7 degrees averaged from all spines), average target registration errors (TRE) of 1.70±0.15 mm and 1.85±0.16 mm were achieved, respectively. The automated spine rectification took 3–5 mins, followed by an additional 30 secs for depth image projection and level-wise registration. Accuracy and efficiency of the proposed level-wise spine registration supports its application in human open spine surgeries. The registration framework, itself, may also be applicable to other intraoperative imaging modalities such as ultrasound and MRI, which may expand utility of the approach in spine registration in general.
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DOI：
10.1007/s11548-015-1255-5
发表时间：
2015-12
影响因子：
3
作者：
Ji S;Fan X;Paulsen KD;Roberts DW;Mirza SK;Lollis SS
通讯作者：
Lollis SS
影响因子：
10.6
作者：
Otake Y;Armand M;Armiger RS;Kutzer MD;Basafa E;Kazanzides P;Taylor RH
通讯作者：
Taylor RH
影响因子：
2
作者：
Haertl, Roger;Lam, Khai Sing;Audige, Laurent
通讯作者：
Audige, Laurent
DOI：
10.1109/tbme.2015.2415731
发表时间：
2015-09
期刊：
IEEE transactions on bio-medical engineering
影响因子：
--
作者：
Ji S;Fan X;Paulsen KD;Roberts DW;Mirza SK;Lollis SS
通讯作者：
Lollis SS
影响因子：
10.9
作者：
Gill, Sean;Abolmaesumi, Purang;Mousavi, Parvin
通讯作者：
Mousavi, Parvin