A framework for predictive modeling of anatomical deformations
A framework for predictive modeling of anatomical deformations
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DOI：
10.1109/42.938251
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发表时间：
2001-08
影响因子：
10.6
通讯作者：
C. Davatzikos;D. Shen;A. Mohamed;S. K. Kyriacou
中科院分区：
文献类型：
--
作者：
C. Davatzikos;D. Shen;A. Mohamed;S. K. Kyriacou
提出了一个用于建模和预测解剖变形的框架，并在模拟图像上进行了测试。尽管可以在此框架中对各种变形进行建模，但重点放在手术计划上，特别是建模和预测术前和术中位置之间的解剖结构变化，以及肿瘤生长引起的变形。研究了两种方法。第一个是纯粹基于形状的，并利用解剖学和变形之间的共变的主要模式来统计地表示可变形性。当患者的解剖结构可用时，它与统计模型结合使用来预测解剖结构将/可能变形的方式。第二种方法是相关的，它将统计模型与解剖变形的生物力学模型结合使用。它检查形状和力之间共同变化的主要模式，后者驱动生物力学模型，从而预测变形。结果显示在模拟图像上，表明使用这些模型可以很好地估计系统变形，例如由位置变化或肿瘤生长引起的变形。估计精度将取决于应用，特别是取决于感兴趣的变形的系统性。
A framework for modeling and predicting anatomical deformations is presented, and tested on simulated images. Although a variety of deformations can be modeled in this framework, emphasis is placed on surgical planning, and particularly on modeling and predicting changes of anatomy between preoperative and intraoperative positions, as well as on deformations induced by tumor growth. Two methods are examined. The first is purely shape-based and utilizes the principal modes of co-variation between anatomy and deformation in order to statistically represent deformability. When a patient's anatomy is available, it is used in conjunction with the statistical model to predict the way in which the anatomy will/can deform. The second method is related, and it uses the statistical model in conjunction with a biomechanical model of anatomical deformation. It examines the principal modes of co-variation between shape and forces, with the latter driving the biomechanical model, and thus predicting deformation. Results are shown on simulated images, demonstrating that systematic deformations, such as those resulting from change in position or from tumor growth, can be estimated very well using these models. Estimation accuracy will depend on the application, and particularly on how systematic a deformation of interest is.