Mayo Clinic, Rochester, MN, USA.
J Digit Imaging. 2011 Apr;24(2):203-7. doi: 10.1007/s10278-010-9311-8.
Researchers in medical imaging have multiple challenges for storing, indexing, maintaining viability, and sharing their data. Addressing all these concerns requires a constellation of tools, but not all of them need to be local to the site. In particular, the data storage challenges faced by researchers can begin to require professional information technology skills. With limited human resources and funds, the medical imaging researcher may be better served with an outsourcing strategy for some management aspects. This paper outlines an approach to manage the main objectives faced by medical imaging scientists whose work includes processing and data mining on non-standard file formats, and relating those files to the their DICOM standard descendents. The capacity of the approach scales as the researcher's need grows by leveraging the on-demand provisioning ability of cloud computing.
医学影像学研究人员在存储、索引、维护数据的有效性和共享数据方面面临着多重挑战。要解决所有这些问题需要一整套工具,但并非所有工具都需要在站点本地。特别是,研究人员面临的数据存储挑战可能开始需要专业的信息技术技能。由于人力资源和资金有限,对于某些管理方面,医学影像学研究人员可能更适合采用外包策略。本文概述了一种方法,用于管理医学成像科学家面临的主要目标,这些科学家的工作包括处理和挖掘非标准文件格式的数据,并将这些文件与他们的 DICOM 标准后代相关联。该方法的能力可以根据研究人员的需求增长而扩展,利用云计算的按需供应能力。