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Cortical surface shift estimation using stereovision and optical flow motion tracking via projection image registration

机译:使用立体视觉和通过投影图像配准的光流运动跟踪来估计皮层表面位移

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摘要

Stereovision is an important intraoperative imaging technique that captures the exposed parenchymal surface noninvasively during open cranial surgery. Estimating cortical surface shift efficiently and accurately is critical to compensate for brain deformation in the operating room (OR). In this study, we present an automatic and robust registration technique based on optical flow (OF) motion tracking to compensate for cortical surface displacement throughout surgery. Stereo images of the cortical surface were acquired at multiple time points after dural opening to reconstruct three-dimensional (3D) texture intensity-encoded cortical surfaces. A local coordinate system was established with its z-axis parallel to the average surface normal direction of the reconstructed cortical surface immediately after dural opening in order to produce two-dimensional (2D) projection images. A dense displacement field between the two projection images was determined directly from OF motion tracking without the need for feature identification or tracking. The starting and end points of the displacement vectors on the two cortical surfaces were then obtained following spatial mapping inversion to produce the full 3D displacement of the exposed cortical surface. We evaluated the technique with images obtained from digital phantoms and 18 surgical cases – 10 of which involved independent measurements of feature locations acquired with a tracked stylus for accuracy comparisons, and 8 others of which 4 involved stereo image acquisitions at three or more time points during surgery to illustrate utility throughout a procedure. Results from the digital phantom images were very accurate (0.05 pixels). In the 10 surgical cases with independently digitized point locations, the average agreement between feature coordinates derived from the cortical surface reconstructions was 1.7–2.1 mm relative to those determined with the tracked stylus probe. The agreement in feature displacement tracking was also comparable to tracked probe data (difference in displacement magnitude was <1 mm on average). The average magnitude of cortical surface displacement was 7.9 ± 5.7 mm (range 0.3–24.4 mm) in all patient cases with the displacement components along gravity being 5.2 ± 6.0 mm relative to the lateral movement of 2.4 ± 1.6 mm. Thus, our technique appears to be sufficiently accurate and computationally efficiency (typically ~15 s), for applications in the OR.
机译:立体视觉是一项重要的术中成像技术,可在开放性颅骨手术中无创地捕获裸露的实质表面。有效和准确地估计皮质表面移位对于补偿手术室(OR)中的大脑变形至关重要。在这项研究中,我们提出了一种基于光流(OF)运动跟踪的自动且强大的配准技术,以补偿整个手术过程中皮质表面的位移。在硬脑膜开放后的多个时间点获取皮质表面的立体图像,以重建三维(3D)纹理强度编码的皮质表面。在硬脑膜腔开放后立即建立一个局部坐标系,其z轴平行于重建的皮质表面的平均表面法线方向,以产生二维(2D)投影图像。直接从OF运动跟踪中确定两个投影图像之间的密集位移场,而无需特征识别或跟踪。然后在空间映射反演后获得两个皮质表面上位移矢量的起点和终点,以产生裸露皮质表面的完整3D位移。我们使用从数字体模获得的图像和18例外科手术病例评估了该技术,其中10例涉及使用跟踪笔对特征位置进行独立测量以进行准确性比较,另外8例涉及在三个或更多时间点采集立体图像手术以说明整个过程的实用性。数字幻影图像的结果非常准确(0.05像素)。在具有独立数字化点位置的10例手术病例中,相对于使用追踪式测针确定的特征坐标,从皮质表面重建得到的特征坐标之间的平均一致性为1.7-2.1 mm。特征位移跟踪中的一致性也可与跟踪的探针数据相媲美(位移大小的差异平均<1 mm)。在所有患者中,皮质表面移位的平均大小为7.9±5.7 mm(范围0.3–24.4 mm),相对于2.4±1.6 mm的横向运动,沿重力的移位分量为5.2±6.0 mm。因此,对于在OR中的应用,我们的技术似乎具有足够的准确性和计算效率(通常〜15 s)。

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