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SU-E-T-192: Computer Vision for Final Online Treatment Parameter Verification.

V Stakhursky^1,2,3, J Finn^1,2,3, V Kanumalla^1,2,3

¹Steward Health Care, Methuen, MA.

Medical Physics

|May 19, 2017

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RTcheck, a computer vision tool, verifies radiation oncology treatment parameters daily, reducing errors and patient treatment time. This quality assurance method ensures data accuracy from planning to delivery.

Area of Science:

Radiation Oncology
Medical Physics
Computer Vision

Background:

Traditional radiation oncology data flow involves manual checks, risking errors in treatment parameter transfer.
Existing quality assurance (QA) programs verify data storage but lack daily confirmation of treatment parameters against the original plan.
A provisional patent application has been submitted for the RTcheck system.

Purpose of the Study:

To introduce and evaluate RTcheck, a novel computer vision approach for end-to-end QA in radiation oncology.
To automate the verification of patient treatment parameters against the planned treatment data before each session.
To enhance the accuracy and efficiency of the data transfer process from the treatment planning station (TPS) to the treatment machine.

Main Methods:

Keywords:

Cancer Computer modeling Data acquisition Machine vision Medical treatment planning Patents Physicists Radiation treatment Therapeutics Vision modeling

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RTcheck digitizes machine parameters directly from the Varian Clinical Console screen using computer vision.
It compares extracted parameters against those from physician-approved planning reports (e.g., Pinnacle).
Key treatment data, including MUs, jaw positions, beam energy, and couch angle, are automatically verified and logged.

Main Results:

Electronic verification using RTcheck significantly reduced patient 'on the table' time compared to manual 'time out' checks.
The system identified minor discrepancies in jaw positioning (0.1cm), which were resolved after recalibration.
Automated verification logs provided a record for physicist review, enhancing oversight.

Conclusions:

RTcheck offers a comprehensive QA solution for verifying the entire data flow from TPS to the treatment machine for every patient.
The computer vision approach effectively reduces the potential for human error in treatment parameter verification.
Implementation of RTcheck can lead to shorter patient treatment times and improved overall safety in radiation oncology.