Quantification and Archiving of Pediatric Brain MRI as an Educational Resource

描述（由申请人提供）：我们的目标是开发一个电子系统，用于存档、可视化和定量脑MRI，并与患者人口统计学、临床和诊断信息相关联。在本提案中，我们将进行初步尝试，以开发几种关键工具来建立该数据库，最初侧重于儿科人群。具体来说，我们将利用约翰霍普金斯医院现有的临床数据、PACS系统中大量可用的数据和JHU正常儿科数据库（lbam.med.jhmi.edu）创建一个试点数据库。所有相关图像将标准化为通用空间坐标，结合结构化人口统计和临床信息，并去识别。然后，将图像分割成各种解剖结构，并对每个片段的体积和强度进行量化;以及2）开发原型用户界面（基于AntoasView软件，www.mristudio.org），该界面将允许在数据库中导航，以查看不同空间和对比度中的多个图像，覆盖分割，访问量化、患者数据、人口统计和临床信息。如果我们成功了，这个电子档案和相关的量化工具将有可能成为教育目的的重要来源，用于共享标准化的研究信息和辅助放射学解释。 公共卫生相关性：我们将开发一个电子系统来实现，可视化和量化脑MRI，与患者的人口统计学，临床和诊断信息相关联，这将可能成为教育目的的重要来源，用于共享标准化研究信息和辅助放射学解释。

DESCRIPTION (provided by applicant): Our goal is to develop an electronic system to archive, visualize, and quantity brain MRIs, linked with patients demographic, clinic, and diagnostic information. In this proposal, we will perform initial attempts to develop several key tools to establish this database, initially focused on pediatric population. Specifically, we will ) Create a pilot database, using existing clinical data acquired in Johns Hopkins Hospital, plenty available on PACS systems, and the JHU normal pediatric database (lbam.med.jhmi.edu). All relevant images will be normalized to common spatial coordinates, combined with structured demographic and clinical information, and de-identified. Then, the images will be segmented into various anatomical structures and each segment will be quantified for volume and intensities; and 2) Develop a prototype user interface (based on AtlasView software, www.mristudio.org) that will allow to navigate in the database, to view multiple images in different spaces and contrasts, to overlay the segmentation, to access the quantification, patient data, demographic, and clinic information. If we succeed, this electronic archive and the associated quantification tools will potentially become an important source for educational purposes, for sharing standardized research information and for aiding radiologic interpretation. PUBLIC HEALTH RELEVANCE: We will develop an electronic system to achieve, visualize, and quantify brain MRIs, linked with patients demographic, clinic, and diagnostic information that will potentially become an important source for educational purposes, for sharing standardized research information and for aiding radiologic interpretation.