An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality Monitoring

@article{Wang2010AnAD,
  title={An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality Monitoring},
  author={Shanshan Wang and William Pavlicek and Catherine C. Roberts and Steve G. Langer and Muhong Zhang and Mengqi Hu and Richard L. Morin and Beth A. Schueler and Clinton V. Wellnitz and Teresa Wu},
  journal={Journal of Digital Imaging},
  year={2010},
  volume={24},
  pages={223-233}
}
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©” (DIT) transparently captures desired digital imaging and communications in medicine (DICOM) tags from CT, nuclear imaging… CONTINUE READING

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Semantic Search over DICOM Repositories

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