Visualizing Scanner Utilization From MRI Metadata and Clinical Data

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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Zusammenfassung: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 communications in medicine images (DICOM).
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2022.3228107