Keywords: Software Tools, Software Tools, QA, Open Source
Motivation: Develop a standardised automated open-source MRI QA tool to reduce analysis time, user variability and licensing issues in quality assurance analysis.
Goal(s): Develop Hazen, an open-source Python package automating MRI QA across MR vendors.
Approach: Developed Hazen, an open-source Python package automating MRI QA using published methods; validated it against manual analysis and existing tools to improve efficiency and standardisation.
Results: Hazen QA measurements closely matched manual and other software analyses with small percentage differences; reduced analysis time by ~75%, demonstrating improved efficiency and accuracy.
Impact: Hazen enables clinicians and scientists to perform rapid, standardised MRI QA across multiple vendors, reducing analysis time by ~75%. This facilitates faster troubleshooting, improves imaging consistency, overcomes licensing barriers, and fosters collaboration - ultimately enhancing diagnostic quality and patient care.
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