Visualizing Scanner Utilization From MRI Metadata and Clinical Data

This article presents our visual approach to understanding magnetic resonance imaging scanner usage in a health-care network in Atlanta, GA, USA. We build a framework that lets us study scanner usage in near real-time and retrospectively by getting the metadata from digital imaging and communication...

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Veröffentlicht in:	Computer (Long Beach, Calif.) Calif.), 2023-08, Vol.56 (8), p.68-76
Hauptverfasser:	Kathiravelu, Pradeeban, Li, Nan, Singi, Nishchal, Bhimireddy, Ananth Reddy, Birmingham, Ryan, Gichoya, Judy Wawira, Trivedi, Hari, Safdar, Nabile, Sharma, Ashish, Sharma, Puneet
Format:	Artikel
Sprache:	eng
Schlagworte:	Data visualization DICOM Digital images Digital imaging Magnetic resonance imaging Medical imaging Medical services Metadata Real-time systems Scanners Visualization
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