Automatic, log file-based process analysis of a clinical 1.5T MR scanner: a proof-of-concept study

Alex Frydrychowicz, Tobias Boppel, Victoria Sieber, Joachim D Schmidt, Jörn Borgert, Peter Schramm, Jörg Barkhausen, Thomas Amthor

Abstract

PURPOSE:  In light of the steadily increasing need for economical efficacy and capacity utilization it was the aim of this proof-of-concept work to implement an automated logfile-based analysis tool for MRI scanner utilization and to establish a process analysis. As a primary step, analyses of scanner and protocol utilization, parametrization of protocol processes, their durations, age dependency, and scan efficacy were to be tested.

MATERIALS AND METHODS:  Logfiles were continuously extracted from a 1.5 T MR scanner (Philips Achieva) and automatically explored for relevant scan parameters. Parameters were extracted into a database and logically combined to protocol parameters. Visualization was achieved using PowerBI (Microsoft, USA). Data aggregation comprised a day-based and protocol-based strategy. In addition, age- and regional-based testing was performed. The frequency of protocol usage was evaluated and those protocols with frequent usage compared regarding efficacy to those rarely used.

RESULTS:  After successful technical implementation, 3659 MR exams were available for further analysis. Out of a plethora of parameters, those relevant to the understanding of the scan process were identified. The initial results mirror the daily scanner usage and allow identifying, e. g., shortened scanner usage on Fridays or longer examination times in children. A scan efficacy of 69.6 ± 17.6 % excluding preparation process was identified as a parameter with high potential to be optimized in daily routine.

CONCLUSION:  The logfile-based analysis of MR scanner processes was successfully introduced and holds the promise to be extended into a comprehensive analytic tool for the analysis and optimization of scanner processes. In combination with other variables from the departmental or institutional infrastructure or patient-specific information such tool may be developed into a intelligent steering tool.

KEY POINTS:   · The automated log file analysis of MR-scanner processes was successfully introduced. · The log file-analysis allows for a detailed analysis of scanner processes. · From a log file-analysis, there is potential benefit to users, applications specialists and developers.

CITATION FORMAT: · Frydrychowicz A, Boppel T, Sieber V et al. Automatic, log file-based process analysis of a clinical 1.5T MR scanner: a proof-of-concept study. Fortschr Röntgenstr 2021; DOI: 10.1055/a-1346-0028.

Original languageEnglish
JournalRoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Volume193
Issue number8
Pages (from-to)919-927
Number of pages9
ISSN1438-9029
DOIs
Publication statusPublished - 08.2021

Research Areas and Centers

  • Academic Focus: Biomedical Engineering
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 205-30 Radiology, Nuclear Medicine, Radiation Therapy and Radiobiology
  • 205-32 Medical Physics, Biomedical Engineering

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