Varshney Kush R, Paragios Nikos, Deux Jean-François, Kulski Alain, Raymond Rémy, Hernigou Phillipe, Rahmouni Alain
IEEE Trans Med Imaging. 2009 Mar;28(3):469-74. doi: 10.1109/TMI.2008.927341.
Arthroplasty, the implantation of prostheses into joints, is a surgical procedure that is affecting a larger and larger number of patients over time. As a result, it is increasingly important to develop imaging techniques to noninvasively examine joints with prostheses after surgery, both statically and dynamically in 3-D. The static problem is considered here, with the aim to create a 3-D shape model of the bone as well as the prosthesis using a set of 2-D X-rays from various viewpoints. The most important challenge to be addressed is the lack of texture, the most common feature to recover shape from multiple views. In order to overcome this limitation, we reformulate the problem using a novel multiview segmentation approach where an active contours 3-D surface evolution with level-set implementation is used to recover the shape of bones and prostheses in postoperative joints. The recovered shape may then be used to track 3-D motions in dynamic X-ray sequences to obtain kinematic information.
关节置换术，即将假体植入关节，是一种随着时间推移影响着越来越多患者的外科手术。因此，开发成像技术以在术后对带有假体的关节进行非侵入性检查变得越来越重要，这种检查包括三维的静态和动态检查。本文考虑静态问题，目的是使用从不同视角获取的一组二维X射线创建骨骼以及假体的三维形状模型。需要解决的最重要挑战是缺乏纹理，而纹理是从多视角恢复形状时最常见的特征。为了克服这一限制，我们使用一种新颖的多视角分割方法重新构建问题，其中采用带有水平集实现的主动轮廓三维表面演化来恢复术后关节中骨骼和假体的形状。然后，恢复的形状可用于跟踪动态X射线序列中的三维运动以获取运动学信息。
