Conversely, the cost of consumer hardware has been continuously decreasing roughly according to Moore’s law. We found that there were a number of challenges to implement such an LCHC system, including cost, capacity, scalability, reliability, continuity, usability, and data management.Ĭlinical PACS is typically very expensive, prohibitively so in the case of research, especially if a very large storage capacity is required. #Osirix md server archive#If combined with this storage system, the clinical system can be used as a virtual phase 3 system, 1 which is thin-slice archive as part of the medical record, though limited to research purposes. We have built a massive low-cost high-capacity (LCHC) MDCT data storage system, independent of the clinical PACS system, to enable us to save and store all the KUH thin-slice data for years and to make these data available at any time for research purposes. This clinical system is supposed to correspond with phase 2, which is centralization of thin-slice data with temporary storage, as proposed by Meenan et al. The data are automatically discarded after about 6 months due to storage limitations, whereas the thick-slice data are transferred to the clinical PACS and stored for years. These data are transferred to a clinical DICOM server for temporary storage and are used to create maximum-intensity projection, multi-planner reconstruction, and/or volume-rendering images. 3Īt Kyoto University Hospital (KUH Kyoto, Japan) thin-slice data are produced by five MDCT scanners: about 0.4 gigabyte (GB) per average study: about 50 GB per clinical day, 1.3 GB per month, and 15 GB per year. 1, 2 The cost of increasing the storage capacity sufficiently to save all thin-slice data of all MDCT studies for years is currently prohibitive for many institutions. These thin-slice data are very useful for both clinical diagnosis and research, but are typically stored for only a short period of time due to the storage capacity limitations of picture archiving and communication system (PACS) in many institutes. Multidetector CT (MDCT) scanners can now generate submillimeter isotropic volumetric images, providing a detailed view of normal and pathological anatomy. In conclusion, this newly developed DICOM storage system is useful for research due to its cost-effectiveness, enormous capacity, high scalability, sufficient reliability, and easy data access. The maintenance workload was found to be about 30 to 60 min once every 2 weeks. Total data stored was 21.3 TB on 23rd June 2009. This system has been running since 7th Feb 2008 with the data stored increasing at the rate of about 1.3 TB per month. The initial cost of this system was about $3,600 with an incremental storage cost of about $900 per 1 terabyte (TB). #Osirix md server software#Software used for this system was open-source OsiriX and additional programs we developed ourselves, both of which were freely available via the Internet. #Osirix md server windows#“Ordinary” hierarchical file systems, instead of a centralized data management system such as relational database, were adopted to manage patient DICOM files by arranging them in directories enabling quick and easy access to the DICOM files of each study by following the directory trees with Windows Explorer via study date and patient ID. We designed and built a low-cost high-capacity Digital Imaging and COmmunication in Medicine (DICOM) storage system able to store thin-slice image data for years, using off-the-shelf consumer hardware components, such as a Macintosh computer, a Windows PC, and network-attached storage units. Thin-slice CT data, useful for clinical diagnosis and research, is now widely available but is typically discarded in many institutions, after a short period of time due to data storage capacity limitations.
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