ArticleFrontiers in physiology2022
CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion.
Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The draft genome of the Wisconsin Miniature SwineTM, a valuable biomedical research tool.G3 (Bethesda, Md.) · 2025Article
- Validation of CT-based ventilation and perfusion biomarkers with histopathology confirms radiation-induced pulmonary changes in a porcine model.Scientific reports · 2023Article
- Quantifying robustness of CT-ventilation biomarkers to image noise.Frontiers in physiology · 2023Article
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Authors and funding
8 authors.
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Abstract
Vessel segmentation in the lung is an ongoing challenge. While many methods have been able to successfully identify vessels in normal, healthy, lungs, these methods struggle in the presence of abnormalities. Following radiotherapy, these methods tend to identify regions of radiographic change due to post-radiation therapytoxicities as vasculature falsely. By combining texture analysis and existing vasculature and masking techniques, we have developed a novel vasculature segmentation workflow that improves specificity in irradiated lung while preserving the sensitivity of detection in the rest of the lung. Furthermore, radiation dose has been shown to cause vascular injury as well as reduce pulmonary function post-RT. This work shows the improvements our novel vascular segmentation method provides relative to existing methods. Additionally, we use this workflow to show a dose dependent radiation-induced change in vasculature which is correlated with previously measured perfusion changes (
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