A three-component deformation model for image-guided surgery.
A three-component deformation model for image-guided surgery.
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DOI：
10.1016/s1361-8415(98)80016-9
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发表时间：
1998-12-01
影响因子：
10.9
通讯作者：
Hawkes, D J
中科院分区：
文献类型：
--
作者：
Edwards, P J;Hill, D L;Hawkes, D J
在图像引导手术中，需要将术前图像数据与患者对准。通常采用刚体近似，但由于组织变形，通常是无效的。非刚性变形算法已经被应用于相关但不相同的问题，例如图谱匹配和手术模拟。在图像引导手术中，我们有额外的信息，即变形受到不同组织的物理特性的约束。必须结合的最重要的特性是骨的刚度、流体区域的不受约束的性质和软组织的相对平滑的变形。因此，我们已经开发了一个简化的组织变形模型的基础上的三个组成部分的系统。刚性区域受刚体变换约束，而流体区域不受约束。已经比较了用于可变形组织的许多能量模型。该模型可以使用术中数据变形，在这种情况下，使用类似于主动轮廓的技术的标志。一种新的策略，以避免折叠的转换。我们的方法被应用到MRI和CT数据从神经外科癫痫患者。虽然目前的实施只有二维的，初步结果是有希望的。由于该算法最终必须在或接近“实时”运行，因此正在进行能量最小化的改进实现。本文介绍了组织变形的问题，这在文献中很少受到关注，并概述了我们已经开发的框架来解决这个困难的问题。
In image-guided surgery it is necessary to align preoperative image data with the patient. The rigid-body approximation is usually applied, but is often not valid due to tissue deformation. Non-rigid deformation algorithms have been applied to related, but not identical problems, such as atlas matching and surgery simulation. In image-guided surgery we have the additional information that the deformation is constrained by the physical properties of the different tissues. The most important properties that must be incorporated are the rigidity of bone, the unconstrained nature of fluid regions and the relatively smooth deformation of soft tissue. Hence, we have developed a simplified model of tissue deformation based on a three-component system. Rigid regions are constrained by the rigid-body transformation and fluid regions are unconstrained. A number of energy models for deformable tissues have been compared. The model can be deformed using intraoperative data, in this case landmarks, using a technique similar to active contours. A novel strategy to avoid folding in the transformation is described. Our method was applied to MRI and CT data from a neurosurgery patient with epilepsy. Although the current implementation is only two dimensional, the initial results are promising. As the algorithm must ultimately run in or near 'real-time' an improved implementation of the energy minimization is underway. This paper presents the problem of tissue deformation, which has received little attention in the literature and outlines the framework we have developed for tackling this difficult subject.