BRAINS Morphology and Image Analysis

大脑形态学和图像分析

• 批准号: 7209650
• 负责人: VINCENT A MAGNOTTA
• 金额: $ 32.7万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-05-15 至 2010-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7209650
• 关键词: Algorithms; Anorexia Nervosa; Arts; Automation; Brain; Brain Mapping; Brain imaging; Chemical Shift Imaging; Classification; Cleft Lip; Code; Communities; Computer Hardware; Computer software; Data; Data Analyses; Data Set; Defect; Development; Diffusion; Disease; Drug abuse; Epilepsy; Fetal Alcohol Syndrome; Generations; Goals; Grant; Human; Huntington Disease; Image; Image Analysis; Imagery; Industry; Institutes; Institution; Iowa; Label; Linux; Lobe; Maintenance; Measures; Medical; Medical Imaging; Methods; Mind; Morphology; Names; Process; Research Infrastructure; Research Personnel; Running; Scanning; Schizophrenia; Site; Software Engineering; Source Code; Standards of Weights and Measures; Structure; Surface; System; Testing; Tissues; Universities; Work; base; brain morphology; brain research; experience; image processing; image registration; insight; nervous system disorder; neuroimaging; open source; programs; software systems; tool

DESCRIPTION (provided by applicant): The BRAINS program has been developed over the past fifteen years to study psychiatric and neurological disorders and has been downloaded by over 350 sites worldwide. It provides extensive tools for the analysis of brain morphology including spatial normalization, image co-registration, tissue classification, automated structure identification, surface generation, diffusion tensor analysis, and chemical shift imaging partial volume correction. Currently, the BRAINS software is the primary image processing package for 37 active grants and pending grants at The University of Iowa and 46 at outside sites. The software contains a reliable and valid image processing pipeline for analyzing brain morphology. In this proposal we will fully automate this pipeline allowing for large scale imaging studies to be rapidly analyzed. This work will build upon the integration of the ITK toolkit into the BRAINS software. We are proposing to streamline maintenance, enhance development, and make BRAINS available to a wider audience of users. The maintenance and code hardening tasks will leverage several open source tools (CMake and DART) that have been developed as part of the ITK project. This will allow the code review process to be open to users of the program. The current BRAINS user interface will be replaced with FLTK providing a native user interface across Windows, Macintosh and Unix/Linux based platforms. To evaluate BRAINS and several other neuroimaging software applications a unique multi-center dataset that has been collected by the MIND Institute will be used to measure intra- and inter-site reliability as well as validity of these tools.

描述（由申请人提供）：BRAINS 程序在过去 15 年中开发出来，用于研究精神和神经系统疾病，并已被全球 350 多个网站下载。它为大脑形态分析提供了广泛的工具，包括空间归一化、图像共同配准、组织分类、自动结构识别、表面生成、扩散张量分析和化学位移成像部分体积校正。目前，BRAINS 软件是爱荷华大学 37 项现行拨款和待定拨款以及 46 项外部站点的主要图像处理软件包。该软件包含用于分析大脑形态的可靠且有效的图像处理管道。在本提案中，我们将完全自动化该流程，以便快速分析大规模成像研究。这项工作将建立在将 ITK 工具包集成到 BRAINS 软件中的基础上。我们建议简化维护、加强开发，并使 BRAINS 可供更广泛的用户使用。维护和代码强化任务将利用作为 ITK 项目一部分开发的多个开源工具（CMake 和 DART）。这将使代码审查过程向程序用户开放。当前的 BRAINS 用户界面将被 FLTK 取代，FLTK 提供跨 Windows、Macintosh 和 Unix/Linux 平台的本机用户界面。为了评估 BRAINS 和其他几个神经影像软件应用程序，MIND 研究所收集的独特多中心数据集将用于测量这些工具的站点内和站点间可靠性以及有效性。