Astronomical Image Handling - Application to TMA Analysis: Exploiting AstroGrid/ CancerGrid Systems

天文图像处理 - TMA 分析应用：利用 AstroGrid/CancerGrid 系统

• 批准号: G0601785/1
• 负责人: Nicholas Walton
• 金额: $ 11.8万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2007
• 资助国家: 英国
• 起止时间: 2007 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G0601785%2F1
• 关键词: Astronomical; Image; Handling; Application; TMA

Cancers result from the accumulation of genetic changes, with changesin the genome of the cancer cells disrupting normal cellularfunctions. Tracking the causes, and predicting the effects and impactof treatments is a complex problem, involving the the integration andanalysis of multi-dimensional datasets. Large clinical studies,involving many thousands of patients) are now underway in the UK aimedat providing vital evidence to support the investigation of the causesof a significant range of cancers. A key challenge is providing aninterface between for instance epidemiological trials data and highvolume data from tissue micro-arrays (used to for instance identifymarkers for breast cancer classification).The CancerGrid project is providing an e-infrastructure to to supporte-clinical trials. AstroGrid has developed a framework to support thethe discovery and analysis of large distributed astronomical imagesusing the latest developments in distributed computation. Thescientific data itself is generated by sophisticated image processingpipelines acting on the raw observational data. The aim of this programme is explore novel uses of techniquesdeveloped in the astronomical domain to provide solutions for thechallenges inherent in the analysis and integration of the largemedical imagery. This will include use of image analysis algorithmsoptimised for feature classification, integration of statisticalapplications in a workflow environment, and interface of the resultingrichly annotated results to the medical CancerGrid created informationinfrastructure.Outcomes from this programme will be designs and prototypes of newinformation systems to support the handling of these large distributeddata flows, and increased collaborative pathways between these keymedical and astronomical groups.

癌症是由遗传变化的积累引起的，癌细胞基因组的变化破坏了正常的细胞功能。追踪原因并预测治疗效果和影响是一个复杂的问题，涉及多维数据集的整合和分析。英国目前正在进行涉及数千名患者的大型临床研究，旨在提供重要证据来支持对多种癌症原因的调查。一个关键的挑战是在流行病学试验数据和来自组织微阵列的大量数据（例如用于识别乳腺癌分类的标记）之间提供接口。CancerGrid 项目正在提供电子基础设施来支持电子临床试验。 AstroGrid 开发了一个框架，支持利用分布式计算的最新发展来发现和分析大型分布式天文图像。科学数据本身是通过作用于原始观测数据的复杂图像处理管道生成的。 该计划的目的是探索天文学领域开发的技术的新用途，为大型医学图像分析和集成中固有的挑战提供解决方案。这将包括使用针对特征分类而优化的图像分析算法、在工作流程环境中集成统计应用程序以及将结果丰富注释的结果与癌症网格创建的医学信息基础设施接口。该计划的成果将是新信息系统的设计和原型，以支持处理这些大型分布式数据流，并增加这些关键医学和天文学之间的协作途径 组。