ArticleMicrocirculation (New York, N.Y. : 1994)2015
Structure-based algorithms for microvessel classification.
Article in Microcirculation (New York, N.Y. : 1994), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Modeling Reactive Hyperemia to Better Understand and Assess Microvascular Function: A Review of Techniques.Annals of biomedical engineering · 2023Review
- Novel morphometric analysis of higher order structure of human radial peri-papillary capillaries: relevance to retinal perfusion efficiency and age.Scientific reports · 2019Article
- Dynamic Changes in Microvascular Flow Conductivity and Perfusion After Myocardial Infarction Shown by Image-Based Modeling.Journal of the American Heart Association · 2019Article
- Modeling the hematocrit distribution in microcirculatory networks: A quantitative evaluation of a phase separation model.Microcirculation (New York, N.Y. : 1994) · 2018Article
- Deciphering microvascular changes after myocardial infarction through 3D fully automated image analysis.Scientific reports · 2018Article
- Model-based inference from microvascular measurements: Combining experimental measurements and model predictions using a Bayesian probabilistic approach.Microcirculation (New York, N.Y. : 1994) · 2017Article
- The capillary bed offers the largest hemodynamic resistance to the cortical blood supply.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017Article
- Rhubarb Antagonizes Matrix Metalloproteinase-9-induced Vascular Endothelial Permeability.Chinese medical journal · 2016Article
- Structure-based algorithms for microvessel classification.Microcirculation (New York, N.Y. : 1994) · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveRecent developments in high-resolution imaging techniques have enabled digital reconstruction of three-dimensional sections of microvascular networks down to the capillary scale. To better interpret these large data sets, our goal is to distinguish branching trees of arterioles and venules from capillaries.
methodsTwo novel algorithms are presented for classifying vessels in microvascular anatomical data sets without requiring flow information. The algorithms are compared with a classification based on observed flow directions (considered the gold standard), and with an existing resistance-based method that relies only on structural data.
resultsThe first algorithm, developed for networks with one arteriolar and one venular tree, performs well in identifying arterioles and venules and is robust to parameter changes, but incorrectly labels a significant number of capillaries as arterioles or venules. The second algorithm, developed for networks with multiple inlets and outlets, correctly identifies more arterioles and venules, but is more sensitive to parameter changes.
conclusionsThe algorithms presented here can be used to classify microvessels in large microvascular data sets lacking flow information. This provides a basis for analyzing the distinct geometrical properties and modelling the functional behavior of arterioles, capillaries, and venules.
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