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A “Geographic Information Systems” Based Technique for the Study of Microvascular Networks

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Abstract

An automated system (ANET) has been developed to construct interactive maps of microvascular networks, calculate blood flow parameters, and simulate microvascular network blood flow using the geographic information systems (GIS) technology. ANET enables us to automatically collect and display topological, structural, and functional parameters and simulate blood flow in microvascular networks. The user-definable programming interface was used for the manipulation of drawings and data. Visual enhancement techniques such as color can be used to display useful information within a network. In ANET the network map becomes a graphical interface through which network information is stored and retrieved and simulations of microvascular network blood flow are carried out. We have used ANET to study the effects of ionizing radiation on normal tissue microvascular networks. Our results indicate that while vessel diameters significantly increased with age in control animals they decreased in irradiated animals. The tortuosity of irradiated vessels (16.3 ± 1.1 mean±standard error of the mean) was significantly different from control vessels (10.0 ± 1.3) only at 7 days postirradiation. Average red blood cell transit time was significantly different between control (1.6 ± 0.6 s) and irradiated (10.7 ± 5.7 s) microvascular networks at 30 days postirradiation. ANET provides an effective tool for handling the large volume of complex data that is usually obtained in microvascular network studies and for simulating blood flow in microvascular networks. © 1999 Biomedical Engineering Society.

PAC99: 8764-t, 8719Tt, 0705Pj, 8750Gi

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REFERENCES

  1. Baez, S. An open cremaster muscle preparation for the study of blood vessels by in vivo microscopy. Microvasc. Res. 5:384–394, 1973.

    Google Scholar 

  2. Fajardo, L. F., and M. Berthrong. Vascular lesions following radiation. Pathol. Annu. 23:297–230, 1988.

    Google Scholar 

  3. Gaehtgens, P. Why networks? Int. J. Microcirc.: Clin. Exp. 11:123–132, 1992.

    Google Scholar 

  4. Gretz, J. E., and B. R. Duling. Measurement uncertainties associated with the use of bright-field and fluorescence microscopy in the microcirculation. Microvasc. Res. 49:134–140, 1995.

    Google Scholar 

  5. Hudetz, A. G., A. S. Greene, G. Feher, D. E. Knuese, and A. W. J. Cowley. Imaging system for three-dimensional mapping of cerebrocortical capillary networks in vivo. Microvasc. Res. 46:293–309, 1993.

    Google Scholar 

  6. Johnson, A. I., C. B. Petterson, and J. L. Fulton. Geographic Information Systems (GIS) and Mapping. Philadelphia PA: ASTM, 1992.

    Google Scholar 

  7. Koller, A., and P. C. Johnson. Methods for in vivo mapping and classifying microvascular networks in skeletal muscle. In: Microvascular Networks: Experimental and Theoretical Studies, edited by A. S. Popel and P. C. Johnson. New York: Karger, 1986, pp. 27–37.

    Google Scholar 

  8. Pries, A. R. A versatile video image analysis system for microcirculatory research. Int. J. Microcirc.: Clin. Exp. 7:327–345, 1988.

    Google Scholar 

  9. Pries, A. R., D. Neuhaus, and P. Gaehtgens. Blood viscosity in tube flow: Dependence on diameter and hematocrit. Am. J. Physiol. 263:H1770-H1778, 1992.

    Google Scholar 

  10. Roth, N. M., M. R. Sontag, and M. F. Kiani. Early effects of ionizing radiation on normal tissue microvascular networks. Radiat. Res. (in press).

  11. Slaaf, D. W., T. Arts, T. J. M. Jeurens, G. J. Tangelder, and R. S. Reneman. Electronic measurement of red blood cell velocity and volume flow in microvessels. In: Investigative Microtechniques in Medicine and Biology, edited by J. Chanyen and L. Bitensky. New York: Marcel Dekker, 1984, pp. 327–364.

    Google Scholar 

  12. Taylor, F. D. R. Geographic Information Systems. New York: Pergamon, 1991.

    Google Scholar 

  13. Torres, F. I., F. Z. Cyrino, A. S. Popel, E. Bouskela, and P. C. Johnson. Morphometric analysis of the anastomosing arteriolar network in cat sartorius muscle. Int. J. Microcirc.: Clin. Exp. 14:3–13, 1994.

    Google Scholar 

  14. Unthank, J. L., J. M. Lash, J. C. Nixon, R. A. Sidner, and H. G. Bohlen. Evaluation of carbocyanine-labeled erythrocytes for microvascular measurements. Microvasc. Res. 45:193–210, 1993.

    Google Scholar 

  15. Wu, C. H., and P. C. Johnson. A microcomputer-based system for mapping microvascular networks. Int. J. Microcirc.: Clin. Exp. 8:303–311, 1989.

    Google Scholar 

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Authors and Affiliations

  1. School of Biomedical Engineering and Department of Radiation Oncology, University of Tennessee Health Science Center, Memphis, TN

    Noah M. Roth & Mohammad F. Kiani

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  1. Noah M. Roth
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  2. Mohammad F. Kiani
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Roth, N.M., Kiani, M.F. A “Geographic Information Systems” Based Technique for the Study of Microvascular Networks. Annals of Biomedical Engineering 27, 42–47 (1999). https://doi.org/10.1114/1.204

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