Three-dimensional visualization, interactive analysis and contextual mapping of s

三维可视化、交互式分析和上下文映射

基本信息

批准号：
7908050
负责人：
PIERRE E GOOVAERTS
金额：
$ 14.34万
依托单位：
BIOMEDWARE
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-09-27 至 2012-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7908050
关键词：
Address Architecture Area Back Cancer Burden Cancer Control Cities Communication Communities Community Health Complex Computer software County Cues Data Data Analyses Detection Development Diagnostic Neoplasm Staging Diagnostic tests Disease Economic Conditions Economics Educational workshop Environment Environmental Risk Factor Epidemiology Face Fertilization Florida Fostering Geography Grant Health Health Services Needs Housing Human Imagery Incidence Individual Intelligence International Intervention Investigation Knowledge Libraries Life Link Malignant Neoplasms Malignant neoplasm of prostate Maps Measurement Methods Michigan Modeling Morbidity - disease rate Names Neighborhoods Online Systems Outcome Paper Pattern Phase Plug-in Prevention Public Health Publications Research Research Personnel Resource Allocation Resources Risk Factors Rotation Screening procedure Solutions Stage at Diagnosis Staging Statistical Data Interpretation Survival Rate System Techniques Technology Testing Time Translational Research United States National Institutes of Health Variant Visual Visual Perception Work base computer science health disparity improved innovation malignant breast neoplasm mortality new technology open source population based prototype public health relevance social socioeconomics success symposium theories tool usability visual process visual processing

项目摘要

DESCRIPTION (provided by applicant): This project is developing the first software to offer 3D visualization of health outcomes in a combined time and geography space, allowing the display of health data at multiple spatial and temporal scales within the same scene and thus taking full advantage of human visual perception that is fundamentally three dimensional. This visualization analytics environment will also provide an interface where the user can: 1) interact dynamically with the system (e.g. using data query, feature highlights, 3D scene rotation) and 2) contextualize the results, such as cancer burden, through the use of background maps that incorporate cues to the local context (e.g. orthophoto with names of major cities and highways to enhance the sense of place). This visualization module will be integrated into TerraSeer Space-Time Intelligence System" (STIS"), providing a comprehensive suite of tools for quantifying nested scales of spatial variation corresponding to individual -> neighborhood -> region, mapping disease incidence using both area-based and individual-level data, statistical analysis (e.g. cluster detection, regression) of health disparities, and detection of their changes in both space and time. A web- based mapping and data visualization system will also be developed to facilitate the use of this new technology by public health departments and increase the impact of the research. This project will accomplish four aims: 1. Conduct a requirements analysis to identify methods and functionality to incorporate into the software. 2. Explore the use of three-dimensional display and visual analytics for the representation and exploratory data analysis of health outcomes and their relationship to putative factors in both space and time. 3. Build and test a complete set of functionalities based on the research results, and incorporate them into Biomedware's space-time visualization and analysis technology (desktop and web-based applications) that will allow easy import and export of data layers with Google Earth Products. 4. Apply the software and methods to demonstrate the approach and its unique benefits for the investigation of geographic and temporal variations in cancer stage at diagnosis and survival data, and the exploration of relationships between health outcomes and potential factors, such as socio-economic conditions and proximity to screening facilities. These technologic, scientific and commercial innovations will revolutionize our ability to visualize and interpret variation in cancer incidence at multiple spatial scales and across time, which will help generating hypotheses for in depth individual studies of risk factors that are causal, or impact survival or morbidity, and establishing the rationale for targeted cancer control interventions, including consideration of health services needs, and resource allocation for screening and diagnostic testing. The creation of disease maps that accurately represent and contextualize the cancer burden will greatly facilitate their interpretation by local communities and engage their participation in addressing health disparities. PUBLIC HEALTH RELEVANCE: The substantial benefit of this research is its utility in accessing and linking diverse individual-level and population-based data, followed by the three-dimensional visualization, interactive analysis and contextual mapping of variation in cancer incidence and mortality at multiple spatial scales and across time. The methods developed in this project will help generating hypotheses for in depth individual studies of risk factors that are causal, or impact survival or morbidity, and establishing the rationale for targeted cancer control interventions, including consideration of health services needs, and resource allocation for screening and diagnostic testing. The incorporation of these innovative visualization and mapping tools into TerraSeer Space-Time Intelligence System" (STIS"), along with the development of a Web-based application, will help public health departments communicate more effectively the results of their analysis to local communities and develop participatory strategies to facilitate the translation of research results into interventions to alleviate the problems identified.

描述（由申请人提供）：该项目正在开发第一个在组合时间和地理空间中提供健康结果 3D 可视化的软件，允许在同一场景内以多个空间和时间尺度显示健康数据，从而充分利用人类视觉感知基本上是三维的。该可视化分析环境还将提供一个界面，用户可以在其中：1）与系统动态交互（例如使用数据查询、特征突出显示、3D 场景旋转）以及 2）通过使用融入当地环境线索的背景地图（例如带有主要城市和高速公路名称的正射影像，以增强地方感）。该可视化模块将集成到 TerraSeer 时空智能系统（STIS）中，提供一套全面的工具，用于量化与个体 -> 邻里 -> 区域相对应的空间变化的嵌套尺度，使用基于区域的方法绘制疾病发病率图以及个人层面的数据，对健康差异进行统计分析（例如聚类检测、回归），并检测其在空间和时间上的变化。还将开发基于网络的地图和数据可视化系统，以促进公共卫生部门使用这项新技术并增加研究的影响。该项目将实现四个目标： 1. 进行需求分析以确定要合并到软件中的方法和功能。 2. 探索使用三维显示和视觉分析来表示和探索性数据分析健康结果及其与空间和时间假定因素的关系。 3. 根据研究结果构建和测试一整套功能，并将其纳入Biomedware的时空可视化和分析技术（桌面和基于Web的应用程序）中，以便通过Google Earth产品轻松导入和导出数据层。 4. 应用软件和方法来展示该方法及其独特的优势，用于调查诊断和生存数据中癌症分期的地理和时间变化，以及探索健康结果与潜在因素（例如社会经济条件）之间的关系以及靠近安检设施。这些技术、科学和商业创新将彻底改变我们在多个空间尺度和跨时间上可视化和解释癌症发病率变化的能力，这将有助于为因果或影响生存或发病的风险因素的深入个体研究产生假设。确定有针对性的癌症控制干预措施的基本原理，包括考虑卫生服务需求以及筛查和诊断测试的资源分配。创建准确代表癌症负担并结合其背景的疾病地图将极大地促进当地社区的解释，并让他们参与解决健康差距问题。公共健康相关性：这项研究的实质性好处是它可以访问和链接不同的个人层面和基于人群的数据，然后对多个空间的癌症发病率和死亡率的变化进行三维可视化、交互式分析和上下文映射。尺度和跨时间。该项目开发的方法将有助于产生假设，对因果风险因素或影响生存或发病率的风险因素进行深入的个体研究，并建立有针对性的癌症控制干预措施的基本原理，包括考虑卫生服务需求和筛查的资源分配和诊断测试。将这些创新的可视化和绘图工具纳入 TerraSeer 时空情报系统（STIS），并开发基于网络的应用程序，将有助于公共卫生部门更有效地向当地社区和社区传达其分析结果。制定参与性策略，促进将研究成果转化为干预措施，以缓解已发现的问题。