Automated measurements of morphological, hemodynamic and oxygenation parameters in capillary networks and their use in computational models

R. N. Pittman, S. A. Japee, D. Goldman, A. S. Popel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have developed a measurement and analysis system to study red blood cell (RBC) dynamics and oxygenation in capillary networks. The system is based on object-oriented principles and it is designed to mimic the structure and hierarchy present in the microcirculation. The system enables analysis of capillaries to study geometry, RBC flow, and hemoglobin oxygen saturation (SO2). We have also developed a very general computer code that can incorporate any realistic microvascular geometry, including capillary anastomoses and tortuousity. The computational model also includes network hemodynamics based on the latest findings for microvascular resistance. The model is capable of taking the geometric and hemodynamic data directly from the newly developed video-based experimental technique.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
Externally publishedYes
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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