Enhancing 3dsvm to improve its interoperability and dissemination

增强 3dsvm 以提高其互操作性和传播

• 批准号: 8278135
• 负责人: STEPHEN M LACONTE
• 金额: $ 15.65万
• 依托单位: VIRGINIA POLYTECHNIC INST AND ST UNIV
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-30 至 2012-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8278135
• 关键词: Enhancing; 3dsvm; improve; its; interoperability

DESCRIPTION (provided by applicant): This research plan outlines crucial software enhancements to a program called 3dsvm, which is a command line program and graphical user interface (gui) plugin for AFNI (Cox, 1996). 3dsvm performs support vector machine (SVM) analysis on fMRI data, which constitutes one important approach to performing multivariate supervised learning of neuroimaging data. 3dsvm originally provided the ability to analyze fMRI data as described in (LaConte et al., 2005). Since its first distribution as a part of AFNI, it has been steadily extended to provide new functionality including regression and non-linear kernels, as well as multiclass classification capabilities. In addition to its integration into AFNI, features that make 3dsvm particularly well suited for fMRI analysis are that it is easy to spatially mask voxels (to include/exclude them in the SVM analysis) as well as to flexibly select subsets of a dataset to use as training or testing samples. It has been used to generate results for our own work and for collaborative efforts and has been cited as a resource by others (Mur et al. 2009; Hanke et al. 2009). Despite many positive aspects of 3dsvm, the priorities of PAR-07-417 address a genuine need that this software project has - the ability to focus on improvements that will increase its dissemination and interoperability. A major motivation for PAR-07-417 is to facilitate the improved interface, characterization, and documentation to enhance the extent of sharing and to provide the groundwork for future extensions. Our aims are well aligned with this program announcement. Further, there is a growing need in the neuroimaging community for tools such as 3dsvm. Since 3dsvm is not a new project, is tightly integrated into the software environment of AFNI, and can be further integrated to enable better functionality to support needs as diverse as NIfTI format capabilities to rtFMRI, this proposed project will help to further the NIH Blueprint for Neuroscience Research by supporting its need for wide-spread adoption of high-quality neuroimaging tools. PUBLIC HEALTH RELEVANCE: This proposal focuses on improving, characterizing, and documenting an existing neuroinformatics software tool. The project described will help to further the NIH Blueprint for Neuroscience Research by supporting its need for wide-spread adoption of high-quality neuroimaging tools.

描述（由申请人提供）：该研究计划概述了名为 3dsvm 的程序的关键软件增强功能，该程序是 AFNI 的命令行程序和图形用户界面 (gui) 插件（Cox，1996）。 3dsvm 对 fMRI 数据执行支持向量机 (SVM) 分析，这是对神经影像数据执行多元监督学习的一种重要方法。 3dsvm 最初提供了分析 fMRI 数据的能力，如（LaConte 等人，2005）中所述。自从作为 AFNI 的一部分首次发布以来，它一直在稳步扩展以提供新功能，包括回归和非线性内核以及多类分类功能。除了集成到 AFNI 之外，使 3dsvm 特别适合 fMRI 分析的功能还在于，可以轻松地在空间上屏蔽体素（在 SVM 分析中包含/排除它们）以及灵活选择要使用的数据集子集作为训练或测试样本。它已被用来为我们自己的工作和协作努力生成结果，并被其他人引用为资源（Mur 等人，2009 年；Hanke 等人，2009 年）。尽管 3dsvm 有许多积极的方面，但 PAR-07-417 的优先事项解决了该软件项目的真正需求 - 能够专注于改进，以提高其传播和互操作性。 PAR-07-417 的主要动机是促进改进界面、特征和文档，以增强共享程度并为未来的扩展提供基础。我们的目标与该计划公告非常一致。此外，神经影像学界对 3dsvm 等工具的需求日益增长。由于 3dsvm 不是一个新项目，它紧密集成到 AFNI 的软件环境中，并且可以进一步集成以实现更好的功能，以支持从 NIfTI 格式功能到 rtFMRI 等多种需求，因此该拟议项目将有助于进一步推进 NIH 蓝图通过支持广泛采用高质量神经影像工具的需求来支持神经科学研究。 公共卫生相关性：该提案的重点是改进、描述和记录现有的神经信息学软件工具。所述项目将通过支持广泛采用高质量神经影像工具的需求，帮助进一步推进 NIH 神经科学研究蓝图。