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arXiv · 2405.06184

RT-utils: A Minimal Python Library for RT-struct Manipulation

Asim Shrestha·Adam Watkins·Fereshteh Yousefirizi·Arman Rahmim·Carlos F. Uribe
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Abstract

Towards the need for automated and precise AI-based analysis of medical images, we present RT-utils, a specialized Python library tuned for the manipulation of radiotherapy (RT) structures stored in DICOM format. RT-utils excels in converting the polygon contours into binary masks, ensuring accuracy and efficiency. By converting DICOM RT structures into standardized formats such as NumPy arrays and SimpleITK Images, RT-utils optimizes inputs for computational solutions such as AI-based automated segmentation techniques or radiomics analysis. Since its inception in 2020, RT-utils has been used extensively with a focus on simplifying complex data processing tasks. RT-utils offers researchers a powerful solution to enhance workflows and drive significant advancements in medical imaging.

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Asim Shrestha, Adam Watkins, Fereshteh Yousefirizi, Arman Rahmim, Carlos F. Uribe. 2024-05-10. RT-utils: A Minimal Python Library for RT-struct Manipulation. https://arxiv.org/abs/2405.06184

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