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Modeling and Analysis of Bioimpedance Measurements

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Abdominal Imaging. Computational and Clinical Applications (ABD-MICCAI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8676))

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Abstract

In this work we presented the technology for high-resolution efficient numerical modeling of bioimpedance measurements. This technology includes 3D image segmentation, adaptive unstructured tetrahedral mesh generation, finite-element discretization, and the analysis of simulation data. High resolution anatomically correct model based on Visible Human Project data was created. Sensitivity field distributions for a Kubicek-like scheme, as well as two eight-electrode segmental torso measurement schemes were computed and compared. All presented methods and techniques are well-known and are implemented in several open-source packages.

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References

  1. Cybulski, G.: Ambulatory Impedance Cardiography. Springer, Heidelberg (2011)

    Book  Google Scholar 

  2. Grimnes, S., Martinsen, O.: Bioimpedance and Bioelectricity Basics. Elsevier, Amsterdam (2008)

    Google Scholar 

  3. Holder, D.: Electrical Impedance Tomography. Institute of Physics Publishers, Bristol (2005)

    Google Scholar 

  4. Kushner, R., Schoeller, D.: Estimation of total body water by bioelectrical impedance analysis. Am. J. Clin. Nutr. 44, 417–424 (1986)

    Google Scholar 

  5. Lukaski, H., Johnson, P., Bolonchuk, W., Lykken, G.: Assessment of fat-free mass using bioelectrical impedance measurements of the human body. Am. J. Clin. Nutr. 41, 810–817 (1985)

    Google Scholar 

  6. Cherepenin, V., Karpov, A., Korjenevsky, A., et al.: Three-dimensional EIT imaging of breast tissues: system design and clinical testing. IEEE Trans. Med. Imaging 21, 662–667 (2002)

    Article  Google Scholar 

  7. Beckmann, L., van Riesen, D., Leonhardt, S.: Optimal electrode placement and frequency range selection for the detection of lung water using bioimpedance spectroscopy. In: Proceedings of the 29th Annual International Conference of the IEEE, pp. 2685–2688 (2007)

    Google Scholar 

  8. Kauppinen, P., Hyttinen, J., Malmivuo, J.: Sensitivity distributions of impedance cardiography using band and spot electrodes analyzed by a three-dimensional computer model. Ann. Biomed. Eng. 26, 694–702 (1998)

    Article  Google Scholar 

  9. Yang, F., Patterson, R.: A simulation study on the effect of thoracic conductivity inhomogeneities on sensitivity distributions. Ann. Biomed. Eng. 36, 762–768 (2008)

    Article  Google Scholar 

  10. Caon, M.: Voxel-based computational models of real human anatomy: a review. Radiat. Environ. Biophys. 42, 229–235 (2004)

    Article  Google Scholar 

  11. Xu, X., Eckerman, K.: Handbook of Anatomical Models for Radiation Dosimetry. CRC Press, Boca Raton (2009)

    Book  Google Scholar 

  12. Danilov, A., Nikolaev, D., Rudnev, S., Salamatova, V., Vassilevski, Y.: Modelling of bioimpedance measurements: unstructured mesh application to real human anatomy. Russ. J. Numer. Anal. Math. Model. 27, 431–440 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  13. The Visible Human Project. http://www.nlm.nih.gov/research/visible/

  14. 3D generator of anisotropic meshes. http://sourceforge.net/projects/ani3d

  15. Höhne, K., Pflesser, B., Pommert, A., et al.: A realistic model of human structure from the Visible Human data. Meth. Inform. Med. 40, 83–89 (2001)

    Google Scholar 

  16. Yushkevich, P., Piven, J., Hazlett, H., et al.: User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31, 1116–1128 (2006)

    Article  Google Scholar 

  17. Rineau, L., Yvinec, M.: A generic software design for Delaunay refinement meshing. Comp. Geom. Theory Appl. 38, 100–110 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  18. Danilov, A., Salamatova, V., Vassilevski, Y.: Mesh generation and computational modeling techniques for bioimpedance measurements: an example using the VHP data. J. Phys. Conf. Ser. 407, 012004 (2012). doi:10.1088/1742-6596/407/1/012004

    Article  Google Scholar 

  19. Geselowitz, D.: An application of electrocardiographic lead theory to impedance plethysmography. IEEE Trans Biomed. Eng. 18, 38–41 (1971)

    Article  Google Scholar 

  20. Danilov, A., Kramarenko, V., Nikolaev, D., Rudnev, S., et al.: Sensitivity field distributions for segmental bioelectrical impedance analysis based on real human anatomy. J. Phys. Conf. Ser. 434, 012001 (2013). doi:10.1088/1742-6596/434/1/012001

    Article  Google Scholar 

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Acknowledgments

This work has been supported in part by RFBR grant 14-01-00830, and by the Russian President grant MK-3675.2013.1.

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Authors and Affiliations

  1. Institute of Numerical Mathematics, Gubkina 8, 119333, Moscow, Russia

    Alexander Danilov

  2. Moscow Institute of Physics and Technology, Institutsky 9, 141700, Dolgoprudny, Russia

    Alexander Danilov & Vasily Kramarenko

  3. Lomonosov Moscow State University, Leninskie Gory 1, 119991, Moscow, Russia

    Alexandra Yurova

Authors
  1. Alexander Danilov
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  2. Vasily Kramarenko
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  3. Alexandra Yurova
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Corresponding author

Correspondence to Alexander Danilov .

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Editors and Affiliations

  1. 3D Imaging Research ,Dept of Radiology, Harvard Medical School , Massachusetts General Hospital, Boston, Massachusetts, USA

    Hiroyuki Yoshida

  2. 3D Imaging Research, Dept of Radiology, Harvard Medical School , MA General Hospital, Boston, Massachusetts, USA

    Janne J. Näppi

  3. Department of Radiology, Harvard Medical School , MA General Hospital, Boston, Massachusetts, USA

    Sanjay Saini

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Danilov, A., Kramarenko, V., Yurova, A. (2014). Modeling and Analysis of Bioimpedance Measurements. In: Yoshida, H., Näppi, J., Saini, S. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2014. Lecture Notes in Computer Science(), vol 8676. Springer, Cham. https://doi.org/10.1007/978-3-319-13692-9_28

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  • DOI: https://doi.org/10.1007/978-3-319-13692-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13691-2

  • Online ISBN: 978-3-319-13692-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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