BRAINS Morphology and Image Analysis

在过去的15年里，BRAINS项目一直在发展，以研究精神病学和神经病学 该软件已被全球350多个网站下载。它为分析提供了广泛的工具 包括空间归一化、图像配准、组织分类、自动化 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37个活动的主要图像处理包。 在爱荷华州大学和46个在外部网站的赠款和待批准的赠款。该软件包含可靠的 和有效的图像处理流水线进行脑形态学分析。在本提案中，我们将完全自动化 该流水线允许快速分析大规模成像研究。这项工作将建立在 将ITK工具包纳入BRAINS软件。我们建议简化维护， 促进发展，并使大脑信息系统可供更广泛的用户使用。维护和 代码强化任务将利用已经开发的几个开源工具（CMake和DART） 作为ITK项目的一部分。这将允许代码审查过程对程序的用户开放。的 当前的BRAINS用户界面将被FLTK取代，FLTK提供跨Windows的本地用户界面， Macintosh和Unix/Linux平台。评估BRAINS和其他几种神经成像软件 应用程序将使用MIND研究所收集的独特多中心数据集， 测量这些工具的站点内和站点间的可靠性以及有效性。

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.