دورية أكاديمية
Quantification of vascular networks in photoacoustic mesoscopy
| العنوان: | Quantification of vascular networks in photoacoustic mesoscopy |
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| المؤلفون: | Emma L. Brown, Thierry L. Lefebvre, Paul W. Sweeney, Bernadette J. Stolz, Janek Gröhl, Lina Hacker, Ziqiang Huang, Dominique-Laurent Couturier, Heather A. Harrington, Helen M. Byrne, Sarah E. Bohndiek |
| المصدر: | Photoacoustics, Vol 26, Iss , Pp 100357- (2022) |
| بيانات النشر: | Elsevier, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Physics LCC:Acoustics. Sound LCC:Optics. Light |
| مصطلحات موضوعية: | Photoacoustic imaging, Vasculature, Segmentation, Topology, Physics, QC1-999, Acoustics. Sound, QC221-246, Optics. Light, QC350-467 |
| الوصف: | Mesoscopic photoacoustic imaging (PAI) enables non-invasive visualisation of tumour vasculature. The visual or semi-quantitative 2D measurements typically applied to mesoscopic PAI data fail to capture the 3D vessel network complexity and lack robust ground truths for assessment of accuracy. Here, we developed a pipeline for quantifying 3D vascular networks captured using mesoscopic PAI and tested the preservation of blood volume and network structure with topological data analysis. Ground truth data of in silico synthetic vasculatures and a string phantom indicated that learning-based segmentation best preserves vessel diameter and blood volume at depth, while rule-based segmentation with vesselness image filtering accurately preserved network structure in superficial vessels. Segmentation of vessels in breast cancer patient-derived xenografts (PDXs) compared favourably to ex vivo immunohistochemistry. Furthermore, our findings underscore the importance of validating segmentation methods when applying mesoscopic PAI as a tool to evaluate vascular networks in vivo. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2213-5979 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S221359792200026X; https://doaj.org/toc/2213-5979 |
| DOI: | 10.1016/j.pacs.2022.100357 |
| URL الوصول: | https://doaj.org/article/fc97a783ea6e487bbbfa8a3121ccf13c |
| رقم الأكسشن: | edsdoj.fc97a783ea6e487bbbfa8a3121ccf13c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22135979 |
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| DOI: | 10.1016/j.pacs.2022.100357 |