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A Modular Framework for Development and Interlaboratory Sharing and Validation of Diffusion Tensor Tractography Algorithms

机译:扩散张量牵引成像算法开发,实验室间共享和验证的模块化框架

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摘要

This Technical Note describes a novel modular framework for development and interlaboratory distribution and validation of 3D tractography algorithms based on in vivo diffusion tensor imaging (DTI) measurements. The proposed framework allows individual MRI research centers to benefit from new tractography algorithms developed at other independent centers by “plugging” new tractography modules directly into their own custom DTI software tools, such as existing graphical user interfaces (GUI) for visualizing brain white matter pathways. The proposed framework is based on the Java 3D programming platform, which provides an object-oriented programming (OOP) model and independence of computer hardware configuration and operating system. To demonstrate the utility of the proposed approach, a complete GUI for interactive DTI tractography was developed, along with two separate and interchangeable modules that implement two different tractography algorithms. Although the application discussed here relates to DTI tractography, the programming concepts presented here should be of interest to anyone who wishes to develop platform-independent GUI applications for interactive 3D visualization.
机译:本技术说明介绍了一种新颖的模块化框架,用于基于体内扩散张量成像(DTI)测量的3D术学开发,实验室间分布和验证。所提议的框架允许各个MRI研究中心通过将新的超声照相模块直接“插入”到他们自己的自定义DTI软件工具(例如用于可视化脑白质路径的现有图形用户界面(GUI))中,从而受益于其他独立中心开发的新的超声照相算法。 。所提出的框架基于Java 3D编程平台,该平台提供了一个面向对象的编程(OOP)模型以及计算机硬件配置和操作系统的独立性。为了演示所提出方法的实用性,开发了用于交互式DTI术式描记术的完整GUI,以及实现两个不同术式描记术算法的两个独立且可互换的模块。尽管此处讨论的应用程序与DTI地物学有关,但希望为交互式3D可视化开发独立于平台的GUI应用程序的任何人都应该对此处呈现的编程概念感兴趣。

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