pith. sign in

arxiv: 2405.06184 · v1 · pith:G2AC5ZCPnew · submitted 2024-05-10 · ⚛️ physics.med-ph

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

classification ⚛️ physics.med-ph
keywords rt-utilsai-basedanalysisautomatedconvertingdicomimageslibrary
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.