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Imaging, image processing and pattern analysis of skin capillary ensembles
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
2000 (English)In: Skin research and technology, ISSN 0909-752X, E-ISSN 1600-0846, Vol. 6, no 2, 45-57 p.Article in journal (Refereed) Published
Abstract [en]

Background/aims: The capillary bed is recognized as the site where metabolic and nutrient processes occur for living tissues at all levels. The evaluation of this vital process is a major concern in microcirculation. Unlike traditional approaches that concentrated on the extreme local properties of this process, a more global analysis toward capillary ensembles is employed here, since capillaries work as a cooperative entirety. As a first step toward ensemble analysis, the static and planar geometric parameters are investigated. Parameters such as the capillary adjacency and size information are very important in predicting and analysing certain malfunctions in the microvascular bed.

Methods/results: In order to achieve an objective and accurate analysis of these vital parameters, a computerized imaging system is proposed. Not only the number of capillaries and the capillary cross-sectional areas are important in describing the microvascular bed but the planar distribution pattern of the capillaries also carries valid information. This information, unique to the ensemble analysis, can be used to reveal, visualise and quantify the clustering of capillaries; and this information, according to the Krogh model, is fundamental in estimating the tissue oxygen supply. Two spatial models, the closest neighbor and triangulation methods, have been applied to the captured images of capillary ensembles. The closest neighbor technique generates a minimal distance map or displays a distribution, which depicts the local clustering of capillaries. The triangulation technique, on the other hand, generates a mutual distance map, which is a global description of the capillary positions. Triangulation methods have been evaluated but all except the Greedy triangulation method have been rejected due to lack of robustness and model weakness. Therefore, the capillaries are triangulated by the Greedy triangulation method, and the capillary distribution uniformity is defined as one minus the coefficient of variance of the edge lengths of the mutual distance map.

Conclusions: A series of advanced image processing methods have been developed that efficiently extract the capillary position, size and distribution information from the images. These results facilitate the automatic counting of capillaries and the capillary size-related pathological analysis.

Place, publisher, year, edition, pages
2000. Vol. 6, no 2, 45-57 p.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-30588DOI: 10.1034/j.1600-0846.2000.006002045.xLocal ID: 16179OAI: oai:DiVA.org:liu-30588DiVA: diva2:251411
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2017-12-13
In thesis
1. Computer assisted video microscopy: in characterization of capillary ensembles
Open this publication in new window or tab >>Computer assisted video microscopy: in characterization of capillary ensembles
2000 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis focuses on evaluation and analysis of capillary microcirculatory changes in the skin, that can be improved and extended by computer assisted video microscopy. Capillary microscopy has been used extensively, both in clinical practice and research, to study different phenomena in the microvasculature of the skin, mainly in the nailfold of fingers and toes where a large portion of the capillary loop can be observed.

In the majority of the different skin regions, the nutritive capillary network approaches the skin surface perpendicularly and capillary microscopy in these sites reveals the apex of the capillary loop as a dark spot. The main approach in this work has been to study a large ensemble of capillary loops, in order to apply statistical and planar models whilst, at the same time, obtaining spatial parameters related to the capillary localization.

The statistical models of proximity are based on nearest neighbour methods and triangulation techniques. The main reason for introducing these models is because of their capability to characterize the heterogeneity of the capillary ensemble.

A computer assisted video microscopy system, that enables both capturing and evaluating of capillary bed images, was assembled and was, thereafter, successfully used in laboratory and clinical studies.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2000. 64 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 648
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-29442 (URN)14788 (Local ID)91-7219-822-2 (ISBN)14788 (Archive number)14788 (OAI)
Public defence
2000-09-12, Berzeliussalen, Universitetssjukhuset, Linköping, 09:00 (Swedish)
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2013-02-27

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Salerud, Göran

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