Nth Slice Eraser: An Automated Algorithm to Ease Editing Workflow of Organ Contours Generated by Artificial
Arjun Karnwal1, Brittney Chau2, Blake Chang3
1Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, USA.
Cureus
|December 16, 2024
Summary
This report introduces an automated de-interpolation script to fix inaccuracies in AI-assisted radiation therapy contouring. This tool enhances clinical workflow by enabling faster contour editing and streamlining AI adoption.
Area of Science:
- Medical Physics
- Radiotherapy Technology
- Computational Biology
Background:
- Manual contouring of organs and tissues in radiation therapy is time-consuming.
- Artificial intelligence (AI) segmentation and interpolation algorithms automate contouring but can be inaccurate.
- Current treatment planning systems (TPS) lack an 'undo' feature, making manual correction of AI errors inefficient.
Purpose of the Study:
- To present a script for automated de-interpolation of contours in radiation therapy.
- To enable faster and more efficient editing of AI-generated contours.
- To streamline the adoption of AI-assisted methodologies in clinical workflows.
Main Methods:
- Development of a script for automated de-interpolation.
- Integration of the script into the contour editing process within a TPS.
- Testing the script's efficiency in correcting AI-generated contour inaccuracies.
Main Results:
- The automated de-interpolation script significantly reduces the time required for contour editing.
- The script facilitates faster correction of inaccuracies introduced by AI segmentation and interpolation.
- Streamlined contour editing supports the integration of AI tools into clinical practice.
Conclusions:
- Automated de-interpolation is a valuable tool for enhancing the efficiency of AI-assisted contouring in radiation therapy.
- This script can help overcome current limitations in TPS, improving clinical workflow.
- Faster contour editing promotes wider adoption of advanced AI methodologies in radiotherapy planning.
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