Content-Based Indexing and Retrieval of Brain Odor Maps

基于内容的大脑气味图索引和检索

• 批准号: 6814195
• 负责人: NIAN LIU
• 金额: $ 15.63万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6814195
• 关键词: Internet; brain electrical activity; brain mapping; computer data analysis; computer human interaction; computer program /software; computer system design /evaluation; data management; functional magnetic resonance imaging; indexing; informatics; information retrieval; neural information processing; neuroanatomy; odors; olfactory lobe; olfactory stimulus

DESCRIPTION (provided by applicant): Neural signals invoked by odor stimuli are encoded in space in the mammalian olfactory bulb (OB). Functional magnetic image (MRI) odor maps are single two-dimensional flat brain images that describe the spatial activity patterns in the entire OB glomerular layer in response to a given odor stimulation. The MRI odor maps and annotations, such as odor type or exposure duration, are saved to the database and can be retrieved based on the annotating text. However, the availability of search tools based on the map content becomes increasingly important as more maps are deposited and the activity patterns of the maps become more complex. The lack of such tools is evidently hindering the full usage of any odor map database. The aim of this proposal is to design and implement a database system with informatics tools for the content-based indexing, storage, and retrieve of the MRI odor maps. The system will be built with Java and web technologies and on the foundation of the current MRI odor map database. Based on the previous knowledge and our recent studies, the proposed project will create sets of templates for the rodent MRI odor maps. The templates will include registered modules. Both the templates and modules are stored in the database. The new tools will allow users to perform image warping and align maps to the appropriate template. The system will then extract the pixel information from each module. For odor maps submitted for archiving, the indexed information will be saved to the database. The proposed web interfaces and tools will allow users to search maps based on anatomical content or using an unknown query map which will also be subject to the indexing process. Similar tools with advanced features including threshold-dependent and Boolean search will also be designed and implemented. For instance, given an unknown query map with certain activity patterns, researchers will be able to retrieve all the maps with similar patterns, the maps including or excluding those patterns. The Boolean search will play an important role in analyzing the complex odor maps generated by a combination of different odor types. The informatics tools developed under this proposal will facilitate the experimental MRI research in the field, help to discover the unique nature in olfactory signal encoding in the mammalian olfactory system, and to understand the mechanism of odor perception.

描述（由申请人提供）： 由气味刺激引起的神经信号在哺乳动物嗅球（OB）的空间中编码。 功能磁成像（MRI）气味图是一个单一的二维平面脑图像，描述了空间活动模式，在整个OB肾小球层响应于给定的气味刺激。MRI气味图和注释（例如气味类型或暴露持续时间）保存到数据库中，并且可以基于注释文本进行检索。然而，基于地图内容的搜索工具的可用性变得越来越重要，因为更多的地图被存放并且地图的活动模式变得更加复杂。缺乏这样的工具显然阻碍了任何气味地图数据库的充分利用。 本提案的目的是设计和实现一个数据库系统与信息学工具的基于内容的索引，存储和检索的MRI气味地图。该系统将建立与Java和Web技术和现有的MRI气味地图数据库的基础上。基于以前的知识和我们最近的研究，拟议的项目将创建啮齿动物MRI气味图的模板集。模板将包括已注册的模块。模板和模块都存储在数据库中。新的工具将允许用户执行图像扭曲和调整地图到适当的模板。然后，系统将从每个模块中提取像素信息。对于提交存档的气味图，索引信息将保存到数据库中。拟议的网络界面和工具将允许用户根据解剖内容或使用也将经过索引过程的未知查询地图搜索地图。还将设计和实施具有先进功能的类似工具，包括依赖阈值和布尔搜索。例如，给定具有某些活动模式的未知查询地图，研究人员将能够检索具有类似模式的所有地图，这些地图包括或不包括这些模式。布尔搜索将在分析由不同气味类型的组合生成的复杂气味图中发挥重要作用。 本研究所开发的信息学工具将促进该领域的实验MRI研究，有助于发现哺乳动物嗅觉系统中嗅觉信号编码的独特性质，并了解气味感知的机制。