RT-utils: A Minimal Python Library for RT-struct Manipulation
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909197465026560 |
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| author | Shrestha, Asim Watkins, Adam Yousefirizi, Fereshteh Rahmim, Arman Uribe, Carlos F. |
| author_facet | Shrestha, Asim Watkins, Adam Yousefirizi, Fereshteh Rahmim, Arman Uribe, Carlos F. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_06184 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | RT-utils: A Minimal Python Library for RT-struct Manipulation Shrestha, Asim Watkins, Adam Yousefirizi, Fereshteh Rahmim, Arman Uribe, Carlos F. Medical Physics 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. |
| title | RT-utils: A Minimal Python Library for RT-struct Manipulation |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2405.06184 |