An automated DICOM database capable of arbitrary data mining (Including Radiation Dose Indicators) for quality monitoring

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

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

The U.S. National Press has brought to full public discussion concerns regarding the use of medical radiation, specifically x-ray computed tomography (CT), in diagnosis. A need exists for developing methods whereby assurance is given that all diagnostic medical radiation use is properly prescribed, and all patients' radiation exposure is monitored. The "DICOM Index Tracker

Original languageEnglish (US)
Pages (from-to)223-233
Number of pages11
JournalJournal of Digital Imaging
Volume24
Issue number2
DOIs
StatePublished - Apr 2011

Fingerprint

Digital Imaging and Communications in Medicine (DICOM)
Data Mining
Dosimetry
Data mining
Databases
Radiation
Monitoring
Tomography
X-Rays
X rays
Radiation Exposure

Keywords

  • Data extraction
  • Database management systems
  • Knowledge base
  • Medical informatics applications
  • Radiation dose

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Medicine(all)

Cite this

An automated DICOM database capable of arbitrary data mining (Including Radiation Dose Indicators) for quality monitoring. / Wang, Shanshan; Pavlicek, William; Roberts, Catherine C.; Langer, Steve G.; Zhang, Muhong; Hu, Mengqi; Morin, Richard L.; Schueler, Beth A.; Wellnitz, Clinton V.; Wu, Teresa.

In: Journal of Digital Imaging, Vol. 24, No. 2, 04.2011, p. 223-233.

Research output: Contribution to journalArticle

Wang, S, Pavlicek, W, Roberts, CC, Langer, SG, Zhang, M, Hu, M, Morin, RL, Schueler, BA, Wellnitz, CV & Wu, T 2011, 'An automated DICOM database capable of arbitrary data mining (Including Radiation Dose Indicators) for quality monitoring', Journal of Digital Imaging, vol. 24, no. 2, pp. 223-233. https://doi.org/10.1007/s10278-010-9329-y
Wang, Shanshan ; Pavlicek, William ; Roberts, Catherine C. ; Langer, Steve G. ; Zhang, Muhong ; Hu, Mengqi ; Morin, Richard L. ; Schueler, Beth A. ; Wellnitz, Clinton V. ; Wu, Teresa. / An automated DICOM database capable of arbitrary data mining (Including Radiation Dose Indicators) for quality monitoring. In: Journal of Digital Imaging. 2011 ; Vol. 24, No. 2. pp. 223-233.
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