An active contour method for bone cement reconstruction from C-arm x-ray images.
An active contour method for bone cement reconstruction from C-arm x-ray images.
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DOI：
10.1109/tmi.2011.2171498
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发表时间：
2012-04
影响因子：
10.6
通讯作者：
Taylor RH
中科院分区：
文献类型：
--
作者：
Lucas BC;Otake Y;Armand M;Taylor RH
提出了一种新算法，用于从在任意姿态下获取的一组稀疏的X射线图像中分割和重建注入的骨水泥。稀疏X射线多视图活动轮廓（SxMAC，发音为“smack”）能够：1）重建在X射线图像中背景部分遮挡物体的对象；2）使用在非圆形轨迹上获取的X射线图像；3）纳入先前的计算机断层扫描（CT）信息。该算法的输入是经过预处理的X射线图像、它们相关的姿态信息以及先前的CT（如果有）。该算法利用从少量稀疏的X射线图像计算出的可视外壳来启动自动重建。然后，它通过优化测地活动轮廓来提高重建的准确性。对数学模型的实验表明，与传统的基于轮廓的方法相比有所改进，并且尸体实验表明SxMAC能够重建注入股骨的高对比度骨水泥，并使用四张图像达到亚毫米级精度。
A novel algorithm is presented to segment and reconstruct injected bone cement from a sparse set of X-ray images acquired at arbitrary poses. The sparse X-ray multi-view active contour (SxMAC—pronounced “smack”) can 1) reconstruct objects for which the background partially occludes the object in X-ray images, 2) use X-ray images acquired on a noncircular trajectory, and 3) incorporate prior computed tomography (CT) information. The algorithm’s inputs are preprocessed X-ray images, their associated pose information, and prior CT, if available. The algorithm initiates automated reconstruction using visual hull computation from a sparse number of X-ray images. It then improves the accuracy of the reconstruction by optimizing a geodesic active contour. Experiments with mathematical phantoms demonstrate improvements over a conventional silhouette based approach, and a cadaver experiment demonstrates SxMAC’s ability to reconstruct high contrast bone cement that has been injected into a femur and achieve sub-millimeter accuracy with four images.