Cortical Reconstruction and Analysis Software

皮质重建和分析软件

• 批准号: 7351764
• 负责人: Dzung L Pham
• 金额: $ 24.63万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-01-19 至 2009-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7351764
• 关键词: Address; Age; Aging; Algorithms; Arts; Atlases; Benchmarking; Brain; Cerebral cortex; Classification; Client; Computer software; Computers; Data; Data Set; Databases; Development; Disease; Evolution; Facility Construction Funding Category; Feedback; General Population; Generations; Goals; Housing; Human; Image; Imagery; Information Technology; Java; Label; Magnetic Resonance; Magnetic Resonance Imaging; Manuals; Measurement; Medical; Medical Imaging; Methodology; Methods; Modeling; Neurosciences; Numbers; Online Systems; Performance; Phase; Plug-in; Population; Process; Programming Languages; Reporting; Research; Research Personnel; Shipping; Ships; Software Tools; Source Code; Specialist; Speed; Sterile coverings; Structure; Structure-Activity Relationship; Surface; Testing; Thick; Tissues; Today; United States National Institutes of Health; Validation; Work; base; design; graphical user interface; insight; interest; programs; reconstruction; software development; stem; tool; user friendly software

The goal of this proposal is to develop largely automated and user-friendly software tools for finding and mathematically representing the cerebral cortex in volumetric magnetic resonance (MR) images. These software tools will be made publicly and freely available and will be useful in studies involving 1) the development of a description of normal versus diseased cortical geometry, 2) landmark generation for deformable atlas registration, 3) statistical analyses of structure/function relationships, and 4) characterization of morphological changes in aging and disease. The algorithms that will form the basis for the developed software tools stem from our own research work on cortical reconstruction and analysis. We propose five specific aims: 1) incorporate the core volumetric processing algorithms into MIPAV, a commercial-quality but freely available software package developed at NIH; 2) implement a dedicatedGUI- based software package for performing a full reconstruction of the cerebral cortex from MR images; 3) implement surface-based processing and analysis tools within our dedicated software package that will allow definition of regions of interest on the cortex, cortical unfolding, surface editing, and sulcal labeling; 4) perform two phases of testing of the software package followed by a general public release; and 5) implement enhanced scripting and client/server-based versions of the software that will allow customization of the overall processing methodology and offload computationally intensive algorithms to a networked server. These aims will be achieved by 1) porting existing in-house software into the Java programming language using the MIPAV application programming interface, 2) developing graphical user interfaces for visualization and validation, and 3) making refinements based on tester feedback. Source code to all developed software will be made publicly available.

该提案的目标是开发高度自动化且用户友好的软件工具，用于查找和 在体积磁共振 (MR) 图像中以数学方式表示大脑皮层。这些 软件工具将公开且免费提供，并将在涉及以下方面的研究中有用：1） 开发正常与患病皮质几何形状的描述，2）地标生成 可变形图谱配准，3) 结构/功能关系的统计分析，以及 4) 衰老和疾病形态变化的表征。将构成基础的算法 开发的软件工具源于我们自己的皮质重建和分析研究工作。我们 提出五个具体目标：1）将核心体积处理算法纳入 MIPAV， NIH 开发的商业质量但免费提供的软件包； 2）实现一个专用的GUI- 基于 MR 图像的大脑皮层完整重建的软件包； 3） 在我们的专用软件包中实施基于表面的处理和分析工具，这将允许 皮质上感兴趣区域的定义、皮质展开、表面编辑和脑沟标记； 4） 对软件包进行两个阶段的测试，然后进行公开发布；和 5) 实施增强的脚本和基于客户端/服务器的软件版本，以允许定制 整体处理方法并将计算密集型算法卸载到网络 服务器。这些目标将通过以下方式实现：1) 将现有的内部软件移植到 Java 编程中 使用 MIPAV 应用程序编程接口的语言，2) 开发图形用户界面 可视化和验证，3) 根据测试人员的反馈进行改进。源码给大家 开发的软件将公开发布。