BRAINS Morphology and Image Analysis

大脑形态学和图像分析

• 批准号: 7417842
• 负责人: VINCENT A MAGNOTTA
• 金额: $ 31.51万
• 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/7417842
• 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）：大脑计划是在过去的15年中开发的，用于研究精神病和神经系统疾病，并已在全球350多个网站下载。它提供了广泛的工具，用于分析脑形态，包括空间归一化，图像共同注册，组织分类，自动结构识别，表面产生，扩散张量分析和化学移位成像部分体积校正。目前，大脑软件是在爱荷华大学提供37个主动赠款和未决赠款的主要图像处理软件包，在外部站点进行了46个赠款。该软件包含可靠且有效的图像处理管道，用于分析脑形态。在此提案中，我们将完全自动化该管道，从而可以快速分析大规模的成像研究。这项工作将基于将ITK工具包集成到大脑软件的基础上。我们提议简化维护，增强开发并为更多的用户提供大脑。维护和代码硬化任务将利用已开发为ITK项目一部分开发的几种开源工具（CMAKE和DART）。这将允许代码审核过程向程序的用户开放。当前的Brains用户界面将被FLTK替换，该FLTK在基于Windows，Macintosh和Unix/Linux平台上提供本机用户界面。为了评估大脑和其他几种神经影像学软件应用程序，Mind Institute已收集的独特多中心数据集将用于测量这些工具的内部和间距可靠性和有效性。