Center for Grid-Enabled Medical Image Analysis

网格医学图像分析中心

• 批准号: 6782579
• 负责人: Joel H. Saltz
• 金额: $ 69.64万
• 依托单位: OHIO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6782579
• 关键词: bioimaging /biomedical imaging; biomedical resource; clinical research; computer data analysis; data management; human subject; image processing; informatics; laboratory mouse; laboratory rat; technology /technique development

DESCRIPTION (provided by applicant): With the increasing emphasis of medical research and clinical practice on complex datasets obtained from a variety of imaging modalities, there is a great need for advances in image processing, analysis, and storage capabilities. The resolution associated with the imagery varies in scale from macroscopic (e.g., radiology studies) to microscopic (slides from biopsies). The imagery can be two or three-dimensional, static or time dependent, and the data yield a wealth of metabolic and anatomic information. While having the ability to obtain this wealth of information has the potential to revolutionize our understanding of disease pathophysiology as well as the noninvasive diagnosis of disease in patients, the need to process, analyze and store this large amount of image data presents a great challenge. In areas ranging from fundamental basic to clinical research, the great promise of imaging technology cannot be realized without exploiting powerful distributed computing resources to handle the massive data and processing requirements of datasets at multiple sites. The sites may lie within a medical center and University or may span many geographically separated institutions. While the OSU and OSC researchers and the resources described in the proposal form an ideal substrate for a center, a pre-NPEBC is needed to leverage existing OSU resources to catalyze development of a highly collaborative research and training environment. Without a center, we would expect only to see a sparse set of non-interacting imaging-related collaborations. The Center environment would produce highly innovative interdisciplinary projects and would provide new scientists with unparalleled training opportunities. Furthermore, this would enable OSU to train inter-disciplinary scientists, well-versed in imaging methods, computing and the use of both in the clinical and research environment.

描述（由申请人提供）：随着医学研究和临床实践对从各种成像方式获得的复杂数据集的日益重视，对图像处理、分析和存储能力的进步提出了巨大的需求。与图像相关的分辨率在从宏观（例如放射学研究）到微观（活检切片）的范围内变化。图像可以是二维或三维、静态或时间相关的，并且数据产生丰富的代谢和解剖信息。虽然获得如此丰富的信息的能力有可能彻底改变我们对疾病病理生理学以及患者疾病的无创诊断的理解，但处理、分析和存储如此大量的图像数据的需求提出了巨大的挑战。从基础基础研究到临床研究，如果不利用强大的分布式计算资源来处理海量数据和多站点数据集的处理要求，成像技术的巨大前景就无法实现。这些站点可能位于医疗中心和大学内，也可能跨越许多地理位置不同的机构。 虽然提案中描述的 OSU 和 OSC 研究人员以及资源构成了中心的理想基础，但需要一个 pre-NPEBC 来利用现有的 OSU 资源来促进高度协作的研究和培训环境的发展。如果没有中心，我们只会看到一组稀疏的非交互成像相关合作。该中心的环境将产生高度创新的跨学科项目，并为新科学家提供无与伦比的培训机会。此外，这将使俄勒冈州立大学能够培训跨学科科学家，他们精通成像方法、计算以及在临床和研究环境中的使用。