Literature DB >> 26518194

DICOM Data Warehouse: Part 2.

Steve G Langer1.   

Abstract

In 2010, the DICOM Data Warehouse (DDW) was launched as a data warehouse for DICOM meta-data. Its chief design goals were to have a flexible database schema that enabled it to index standard patient and study information, modality specific tags (public and private), and create a framework to derive computable information (derived tags) from the former items. Furthermore, it was to map the above information to an internally standard lexicon that enables a non-DICOM savvy programmer to write standard SQL queries and retrieve the equivalent data from a cohort of scanners, regardless of what tag that data element was found in over the changing epochs of DICOM and ensuing migration of elements from private to public tags. After 5 years, the original design has scaled astonishingly well. Very little has changed in the database schema. The knowledge base is now fluent in over 90 device types. Also, additional stored procedures have been written to compute data that is derivable from standard or mapped tags. Finally, an early concern is that the system would not be able to address the variability DICOM-SR objects has been addressed. As of this writing the system is indexing 300 MR, 600 CT, and 2000 other (XA, DR, CR, MG) imaging studies per day. The only remaining issue to be solved is the case for tags that were not prospectively indexed-and indeed, this final challenge may lead to a noSQL, big data, approach in a subsequent version.

Entities:  

Keywords:  Computer systems; Data mining; Databases

Mesh:

Year:  2016        PMID: 26518194      PMCID: PMC4879026          DOI: 10.1007/s10278-015-9830-4

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


  5 in total

1.  A flexible database architecture for mining DICOM objects: the DICOM data warehouse.

Authors:  Steve G Langer
Journal:  J Digit Imaging       Date:  2012-04       Impact factor: 4.056

2.  Informatics in radiology: use of CouchDB for document-based storage of DICOM objects.

Authors:  Simón J Rascovsky; Jorge A Delgado; Alexander Sanz; Víctor D Calvo; Gabriel Castrillón
Journal:  Radiographics       Date:  2012-03-08       Impact factor: 5.333

3.  An automated DICOM database capable of arbitrary data mining (including radiation dose indicators) for quality monitoring.

Authors:  Shanshan Wang; William Pavlicek; Catherine C Roberts; Steve G Langer; Muhong Zhang; Mengqi Hu; Richard L Morin; Beth A Schueler; Clinton V Wellnitz; Teresa Wu
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

4.  Challenges for data storage in medical imaging research.

Authors:  Steve G Langer
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

Review 5.  The RSNA Image Sharing Network.

Authors:  S G Langer; W Tellis; C Carr; M Daly; B J Erickson; D Mendelson; S Moore; J Perry; K Shastri; M Warnock; W Zhu
Journal:  J Digit Imaging       Date:  2015-02       Impact factor: 4.056

  5 in total
  5 in total

1.  A General Framework for Monitoring Image Acquisition Workflow in the Radiology Environment: Timeliness for Acute Stroke CT Imaging.

Authors:  Timothy P Szczykutowicz; Christina L Brunnquell; Gregory D Avey; Carrie Bartels; Daryn S Belden; Richard J Bruce; Aaron S Field; Walter W Peppler; Peter Wasmund; Gary Wendt
Journal:  J Digit Imaging       Date:  2018-04       Impact factor: 4.056

2.  Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.

Authors:  Chris Meenan; Bradley Erickson; Nancy Knight; Jewel Fossett; Elizabeth Olsen; Prerna Mohod; Joseph Chen; Steve G Langer
Journal:  J Digit Imaging       Date:  2017-06       Impact factor: 4.056

3.  Research on Several Key Problems of Medical Image Segmentation and Virtual Surgery.

Authors:  Dan Luo; Yu Zhang; Jia Li
Journal:  Contrast Media Mol Imaging       Date:  2022-04-11       Impact factor: 3.009

4.  Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses.

Authors:  Mathias Kaspar; Leon Liman; Maximilian Ertl; Georg Fette; Lea Katharina Seidlmayer; Laura Schreiber; Frank Puppe; Stefan Störk
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

5.  Q-Bot: automatic DICOM metadata monitoring for the next level of quality management in nuclear medicine.

Authors:  Ferenc Nagy; Aron K Krizsan; Kornél Kukuts; Melinda Szolikova; Zsolt Hascsi; Sandor Barna; Antonietta Acs; Peter Szabo; Lajos Tron; Laszlo Balkay; Magnus Dahlbom; Mihaly Zentai; Attila Forgacs; Ildiko Garai
Journal:  EJNMMI Phys       Date:  2021-03-18
  5 in total

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