Jain Ameet Kumar, Mustafa Tabish, Zhou Yu, Burdette Clif, Chirikjian Gregory S, Fichtinger Gabor
Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Med Phys. 2005 Oct;32(10):3185-98. doi: 10.1118/1.2047782.
C-arm fluoroscopy is ubiquitous in contemporary surgery, but it lacks the ability to accurately reconstruct three-dimensional (3D) information. A major obstacle in fluoroscopic reconstruction is discerning the pose of the x-ray image, in 3D space. Optical/magnetic trackers tend to be prohibitively expensive, intrusive and cumbersome in many applications. We present single-image-based fluoroscope tracking (FTRAC) with the use of an external radiographic fiducial consisting of a mathematically optimized set of ellipses, lines, and points. This is an improvement over contemporary fiducials, which use only points. The fiducial encodes six degrees of freedom in a single image by creating a unique view from any direction. A nonlinear optimizer can rapidly compute the pose of the fiducial using this image. The current embodiment has salient attributes: small dimensions (3 x 3 x 5 cm); need not be close to the anatomy of interest; and accurately segmentable. We tested the fiducial and the pose recovery method on synthetic data and also experimentally on a precisely machined mechanical phantom. Pose recovery in phantom experiments had an accuracy of 0.56 mm in translation and 0.33 degrees in orientation. Object reconstruction had a mean error of 0.53 mm with 0.16 mm STD. The method offers accuracies similar to commercial tracking systems, and appears to be sufficiently robust for intraoperative quantitative C-arm fluoroscopy. Simulation experiments indicate that the size can be further reduced to 1 x 1 X 2 cm, with only a marginal drop in accuracy.
C形臂荧光透视在当代外科手术中无处不在,但它缺乏准确重建三维(3D)信息的能力。荧光透视重建中的一个主要障碍是在3D空间中辨别X射线图像的姿态。在许多应用中,光学/磁性跟踪器往往价格昂贵、具有侵入性且使用不便。我们提出了基于单图像的荧光镜跟踪(FTRAC)方法,使用由一组经过数学优化的椭圆、直线和点组成的外部射线基准标记。这是对仅使用点的当代基准标记的一种改进。该基准标记通过从任何方向创建独特视图,在单个图像中编码六个自由度。非线性优化器可以使用该图像快速计算基准标记的姿态。当前的实施方案具有显著特点:尺寸小(3×3×5厘米);无需靠近感兴趣的解剖结构;并且可精确分割。我们在合成数据上测试了基准标记和姿态恢复方法,并在精确加工的机械模型上进行了实验。模型实验中的姿态恢复在平移方面的精度为0.56毫米,在方向方面的精度为0.33度。物体重建的平均误差为0.53毫米,标准偏差为0.16毫米。该方法提供的精度与商业跟踪系统相似,并且对于术中定量C形臂荧光透视似乎具有足够的鲁棒性。模拟实验表明,尺寸可以进一步减小到1×1×2厘米,而精度仅略有下降。