Journal article
CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion
Frontiers in physiology, Vol.13, 1008526
10/17/2022
DOI: 10.3389/fphys.2022.1008526
PMCID: PMC9619090
PMID: 36324304
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 (R2 = 0.72) in both directly irradiated and indirectly damaged regions of perfusion. These results present an opportunity to extend non-contrast CT-derived models of functional change following radiation therapy.
Details
- Title: Subtitle
- CT-derived vessel segmentation for analysis of post-radiation therapy changes in vasculature and perfusion
- Creators
- Antonia E Wuschner - Department of Medical Physics, University of Wisconsin, Madison, WI, United StatesMattison J Flakus - Department of Medical Physics, University of Wisconsin, Madison, WI, United StatesEric M Wallat - Department of Medical Physics, University of Wisconsin, Madison, WI, United StatesJoseph M Reinhardt - Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa, IA, United StatesDhanansayan Shanmuganayagam - Department of Animal Science, University of Wisconsin, Madison, WI, United StatesGary E Christensen - Department of Electrical and Computer Engineering, University of Iowa, Iowa, IA, United StatesSarah E GerardJohn E Bayouth - Department of Radiation Medicine, Oregon Health Sciences University, Portland, OR, United States
- Resource Type
- Journal article
- Publication Details
- Frontiers in physiology, Vol.13, 1008526
- DOI
- 10.3389/fphys.2022.1008526
- PMID
- 36324304
- PMCID
- PMC9619090
- NLM abbreviation
- Front Physiol
- ISSN
- 1664-042X
- eISSN
- 1664-042X
- Publisher
- Frontiers Media S.A
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: CA166703
- Language
- English
- Date published
- 10/17/2022
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
- Record Identifier
- 9984304549702771
Metrics
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