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）：本研究计划概述了对一个名为3dsvm的程序的关键软件增强，该程序是AFNI的命令行程序和图形用户界面（gui）插件（考克斯，1996）。3dsvm在fMRI数据上执行支持向量机（SVM）分析，这构成了对神经成像数据执行多变量监督学习的重要方法之一。3dsvm最初提供分析fMRI数据的能力，如（LaConte等人，2005年）。自从它作为AFNI的一部分首次发布以来，它一直在稳步扩展，以提供新的功能，包括回归和非线性内核，以及多类分类功能。除了集成到AFNI中之外，使3dsvm特别适合用于fMRI分析的特性是它很容易在空间上屏蔽体素（在SVM分析中包括/排除它们），以及灵活地选择数据集的子集用作训练或测试样本。它已被用于为我们自己的工作和协作努力产生结果，并已被其他人引用为资源（Mur et al. 2009; Hanke et al. 2009）。尽管3dsvm有许多积极的方面，但PAR-07-417的优先级解决了该软件项目的真正需求-专注于提高其传播和互操作性的改进的能力。PAR-07-417的一个主要动机是促进改进的接口、特征和文档，以提高共享的程度，并为未来的扩展奠定基础。我们的目标与此计划公告完全一致。此外，神经成像社区对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的各种需求，因此该拟议项目将通过支持其广泛采用高质量神经成像工具的需求来进一步推动NIH神经科学研究蓝图。 公共卫生相关性：该提案侧重于改进、表征和记录现有的神经信息学软件工具。所描述的项目将有助于通过支持其广泛采用高质量神经成像工具的需求来进一步推进NIH神经科学研究蓝图。