Literature DB >> 20182765

Development and evaluation of a low-cost and high-capacity DICOM image data storage system for research.

Masahiro Yakami1, Koichi Ishizu, Takeshi Kubo, Tomohisa Okada, Kaori Togashi.   

Abstract

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. 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. "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. Software used for this system was open-source OsiriX and additional programs we developed ourselves, both of which were freely available via the Internet. The initial cost of this system was about $3,600 with an incremental storage cost of about $900 per 1 terabyte (TB). This system has been running since 7th Feb 2008 with the data stored increasing at the rate of about 1.3 TB per month. Total data stored was 21.3 TB on 23rd June 2009. The maintenance workload was found to be about 30 to 60 min once every 2 weeks. 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.

Entities:  

Mesh:

Year:  2010        PMID: 20182765      PMCID: PMC3056973          DOI: 10.1007/s10278-009-9267-8

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  3 in total

1.  Use of a thin-section archive and enterprise 3D software for long-term storage of thin-slice CT data sets.

Authors:  Christopher Meenan; Barry Daly; Christopher Toland; Paul Nagy
Journal:  J Digit Imaging       Date:  2006       Impact factor: 4.056

Review 2.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

3.  Use of a thin-section archive and enterprise 3-dimensional software for long-term storage of thin-slice CT data sets-a reviewers' response.

Authors:  P M A van Ooijen; A Broekema; M Oudkerk
Journal:  J Digit Imaging       Date:  2008-06       Impact factor: 4.056

  3 in total
  4 in total

1.  Development of a next-generation automated DICOM processing system in a PACS-less research environment.

Authors:  Scott E Ziegler
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

2.  Pattern recognition for cache management in distributed medical imaging environments.

Authors:  Carlos Viana-Ferreira; Luís Ribeiro; Sérgio Matos; Carlos Costa
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-08-05       Impact factor: 2.924

3.  Using a high-speed movie camera to evaluate slice dropping in clinical image interpretation with stack mode viewers.

Authors:  Masahiro Yakami; Akira Yamamoto; Morio Yanagisawa; Hiroyuki Sekiguchi; Takeshi Kubo; Kaori Togashi
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

4.  DCMDSM: a DICOM decomposed storage model.

Authors:  Alexandre Savaris; Theo Härder; Aldo von Wangenheim
Journal:  J Am Med Inform Assoc       Date:  2014-02-03       Impact factor: 4.497

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.