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Session: Professional Interactive ePoster Discussion [Return to Session]

An Application for the Collection Of Weekly MRI QC Across the Emory Campus

A Salazar, P Sharma, M Goette*, H Kitajima, J Nye, Emory Univ, Atlanta, GA

Presentations

TU-D1000-IePD-F6-2 (Tuesday, 7/12/2022) 10:00 AM - 10:30 AM [Eastern Time (GMT-4)]

Exhibit Hall | Forum 6

Purpose: An application was created for technologists to submit and verify MRI weekly QC results required by the ACR. The application makes the submission, storage and review of MRI weekly QC easier, faster and accessible remotely for technologists and physicists.

Methods: Utilizing the Microsoft Office application “Power Apps”, an app was created that was configured to work with existing tools, including our automated image processing software, and connect to the Office Suite, which tracks and archives final results. There is also a section which allows the technologist to complete and submit their visual checklist. Technologists can review the automated processing results and manually input missing fields. When submitting, the app provides immediate pass/fail feedback.

Results: The application is in its final testing before distribution throughout the hospital system where it will be used across 18 sites and 30 systems. The application has complete remote accessibility and can be used by any technologist as long as they can access their Office Suite. Currently, the app tracks the clinical site, the unit undergoing testing, allows the technologist to complete the missing QC, and shows if the site is up to date with their testing. All submissions are then archived to a centralized database to be reviewed by the physicists.

Conclusion: In a testing environment, the application is working. In practice it should offer a modern approach for collecting QC data which streamlines the verification process and improves communication between the medical physicists and technologists. An additional outcome is eliminating the need for paper-based QC logs, thereby accommodating further data analytics. While the application is currently designed for MRI, there is no reason why a similar application could not be created for other modalities.

Keywords

MRI, Quality Assurance, Record And Verify

Taxonomy

IM- MRI : Quality Control and Image Quality Assessment

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