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FTRAC——一种强大的荧光透视跟踪基准。

FTRAC--a robust fluoroscope tracking fiducial.

作者信息

Jain Ameet Kumar, Mustafa Tabish, Zhou Yu, Burdette Clif, Chirikjian Gregory S, Fichtinger Gabor

机构信息

Department of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA.

出版信息

Med Phys. 2005 Oct;32(10):3185-98. doi: 10.1118/1.2047782.

Abstract

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.

摘要

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。

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