3D Slicer as an image computing platform for the Quantitative Imaging Network.
3D Slicer as an image computing platform for the Quantitative Imaging Network.
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DOI：
10.1016/j.mri.2012.05.001
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发表时间：
2012-11
影响因子：
2.5
通讯作者：
Kikinis, Ron
中科院分区：
文献类型：
--
作者：
Fedorov, Andriy;Beichel, Reinhard;Kalpathy-Cramer, Jayashree;Finet, Julien;Fillion-Robin, Jean-Christophe;Pujol, Sonia;Bauer, Christian;Jennings, Dominique;Fennessy, Fiona;Sonka, Milan;Buatti, John;Aylward, Stephen;Miller, James V.;Pieper, Steve;Kikinis, Ron
关键词：
定量分析在医疗保健中具有巨大但大多未实现的潜力，以支持临床成像的客观和准确解释。2008年，美国国家癌症研究所开始建立定量成像网络（QIN）计划，目标是在个性化治疗和治疗反应评估的背景下推进定量成像。计算机化分析是定量成像技术的再现性和效率的重要组成部分。定量成像的成功取决于强大的分析方法和软件工具，以将这些方法从实验室带到床边。3D Slicer是一个免费的开源软件应用程序，用于医学图像计算。作为一种临床研究工具，3D Slicer类似于放射学工作站，支持多功能可视化，但也提供高级功能，如用于各种应用领域的自动分割和配准。与典型的放射学工作站不同，3D Slicer是免费的，不依赖于特定的硬件。作为一个编程平台，3D Slicer通过允许生物医学研究人员专注于算法的实施，并为数据通信，可视化和用户界面开发的常见任务提供抽象，促进了新定量方法的翻译和评估。与其他提供此功能的工具相比，3D Slicer是完全开源的，可以很容易地扩展和重新分发。此外，3D Slicer旨在以3D Slicer扩展的形式促进新功能的开发。在本文中，我们提出了一个概述的3D切片机作为一个平台的原型，开发和评估的图像分析工具，用于临床研究应用。为了说明该平台在QIN范围内的实用性，我们讨论了现有QIN团队使用3D Slicer的几个用例，并详细说明了未来的发展方向，可以进一步促进使用3D Slicer开发和验证成像生物标志物。
Quantitative analysis has tremendous but mostly unrealized potential in healthcare to support objective and accurate interpretation of the clinical imaging. In 2008, the National Cancer Institute began building the Quantitative Imaging Network (QIN) initiative with the goal of advancing quantitative imaging in the context of personalized therapy and evaluation of treatment response. Computerized analysis is an important component contributing to reproducibility and efficiency of the quantitative imaging techniques. The success of quantitative imaging is contingent on robust analysis methods and software tools to bring these methods from bench to bedside. 3D Slicer is a free open source software application for medical image computing. As a clinical research tool, 3D Slicer is similar to a radiology workstation that supports versatile visualizations but also provides advanced functionality such as automated segmentation and registration for a variety of application domains. Unlike a typical radiology workstation, 3D Slicer is free and is not tied to specific hardware. As a programming platform, 3D Slicer facilitates translation and evaluation of the new quantitative methods by allowing the biomedical researcher to focus on the implementation of the algorithm, and providing abstractions for the common tasks of data communication, visualization and user interface development. Compared to other tools that provide aspects of this functionality, 3D Slicer is fully open source and can be readily extended and redistributed. In addition, 3D Slicer is designed to facilitate the development of new functionality in the form of 3D Slicer extensions. In this paper, we present an overview of 3D Slicer as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications. To illustrate the utility of the platform in the scope of QIN, we discuss several use cases of 3D Slicer by the existing QIN teams, and we elaborate on the future directions that can further facilitate development and validation of imaging biomarkers using 3D Slicer.
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影响因子：
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作者：
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通讯作者：
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DOI：
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发表时间：
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