Online Tools for Customizable ADNI Atlases: Technology and Application

描述（由申请人提供）：本提案描述了我们计划构建一套软件工具和在线功能，用于从ADNI图像和患者数据数据库生成高分辨率、研究特定地图集。所提出的工具将依赖于大变形几何形态度量映射（LDDMMs）的技术，以生成高质量的多模态大脑图谱。这个项目的目标不仅仅是一个地图集，也不仅仅是一套新的算法。相反，我们将提供一个在线服务，用户可以通过该服务请求他们通过Web界面指定的自定义地图集。计算基础设施将把这些地图集交付给用户。 我们还将在地图集构建框架中进行根本性和技术性改进，并对这些技术进行验证。为了提供这些发展的临床背景下，我们将使用这些工具进行一个基于地图集的研究代谢不对称的痴呆症与合作研究人员在神经病学系在犹他州。 公共卫生相关性：该项目的目标是多方面的。我们将开发用于生成LDDMM的开源软件，以及向世界各地的研究人员开放的Web界面，以便从ADNI数据库查询中自动生成和提供高质量的按需地图集。拟议的脑图谱门户将根据用户的指定生成：（i）多模态图像，包括受试者和平均值之间的转换，（ii）图谱的可靠性指数，（iii）队列结构和代谢变异性的量化，以及（iv）队列的一组纵向多模态图谱。

DESCRIPTION (provided by applicant): This proposal describes our plans to build a set of software tools and an online capability for generating high-resolution, study-specific atlases from the ADNI database of images and patient data. The proposed tools will rely on the technology for large deformation diffeomorphic metric mappings (LDDMMs), to generate high-quality, multimodal brain atlases. The goal of this project is not merely a single atlas nor is it simply a set of new algorithms. Rather, we will provide an online service through which users can request custom atlases that they specify through a web interface. A computational infrastructure will deliver these atlases to the user. We will also pursue fundamental and technological improvements in the atlas construction framework as well as the validation of these technologies. In order to provide a clinical context for these developments, we will use these tools to conduct an atlas-based study on metabolic asymmetry in dementia with coinvestigators in the Department of Neurology at the University of Utah. PUBLIC HEALTH RELEVANCE: The goals of this project are multifold. We will be developing open-source software for generating LDDMMs and a web interface open to researchers around the world for automatically generating and delivering high-quality, on-demand atlases from ADNI database queries. The proposed Brain Atlas Portal will produce, as specified by the user: (i) multimodal imagery, with transformations between subjects and the mean, (ii) reliability index for the atlas, (iii) quantification of structural and metabolic variability of the cohort, and (iv) a set of longitudinal multimodal atlases for a cohort.