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首页> 外文会议>Conference on physiology and function from multidimensional images >3D analysis of the peritalar complex using MR imaging in live patients
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3D analysis of the peritalar complex using MR imaging in live patients

机译：使用生物患者MR成像的Peritalar复合物的3D分析

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The purpose of this work is to characterize and classify the 3D architecture and kinematics of the joints of the foot, in live patients from 3D MR images. In the first part of this work we define a set of architectural parameters to describe the 3D relationships among the peritalar components and propose a new tool to automatically classify normal and pathological feet based on their architectural features. In the second part we extend the architectural method to the kinematics of the foot. Each image data set utilized in this study consists of 60 longitudinal slices of the foot acquired on a 1.5 T commercial MR system in each of 8 positions from extreme pronation to extreme supination. In the first part of this work, we developed a graphical representation of these parameters that provides useful and specific information for the clinician, and also developed a simple pattern classification method to select the most characteristic parameters for each pathological group. In the second part of this work, we show how these specific parameters vary during motion. The results presented characterize the normal architectural features of the foot. They show how each foot can be automatically classified into one of three pathological groups based on its architecture and its variations. They also present the normal features of motion, and show how normal and abnormal motions can be distinguished. We conclude that 3D MR image and analysis is a unique and powerful technique to study and follow normal and pathological feet in living patients.
机译：这项工作的目的是在3D MR图像的实时患者中表征和分类脚关节的3D架构和运动学。在这项工作的第一部分，我们定义了一组架构参数来描述Peritalar组件之间的3D关系，并提出了一种基于其建筑功能来自动分类正常和病理脚的新工具。在第二部分中，我们将建筑方法扩展到脚的运动学。本研究中使用的每个图像数据集由60个纵向切片组成的脚在1.5 T商业MR系统中获得的8个位置中的每个尺寸，从极端校验到极端索取。在这项工作的第一部分，我们开发了这些参数的图形表示，这些参数为临床医生提供了有用和特定的信息，并且还开发了一种简单的模式分类方法，以为每个病理组选择最特征的参数。在这项工作的第二部分，我们展示了这些特定参数在运动期间的变化。结果表征了脚的正常建筑特征。它们展示了如何根据其架构及其变体自动将每只脚自动分类为三个病理组中的一种。它们还呈现了运动的正常特征，并显示了可以区分正常和异常的运动。我们得出结论，3D MR图像和分析是一种独特而强大的技术，用于研究和遵循生活患者的正常和病理脚。

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