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The Scientific World Journal
Volume 2014, Article ID 203148, 13 pages
http://dx.doi.org/10.1155/2014/203148
Research Article

Multiple-Site Hemodynamic Analysis of Doppler Ultrasound with an Adaptive Color Relation Classifier for Arteriovenous Access Occlusion Evaluation

1Department of Biomedical Engineering, National Cheng Kung University, Tainan City 70101, Taiwan
2Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan City 71005, Taiwan
3Department of Internal Medicine, Kaohsiung Veterans General Hospital, Tainan Branch, Tainan City 71051, Taiwan
4Division of Infectious Diseases, Department of Medicine of Chi Mei Medical Center, Tainan City 71004, Taiwan
5Department of Electrical Engineering, Kao Yuan University, Kaohsiung City 82151, Taiwan

Received 28 February 2014; Accepted 24 March 2014; Published 30 April 2014

Academic Editors: H.-K. Lam, J. Li, and G. Ouyang

Copyright © 2014 Jian-Xing Wu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. J. Sands, “Vascular access monitoring improves outcomes,” Blood Purification, vol. 23, no. 1, pp. 45–49, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. A. Asif, F. N. Gadalean, D. Merrill et al., “Inflow stenosis in arteriovenous fistulas and grafts: a multicenter, prospective study,” Kidney International, vol. 67, no. 5, pp. 1986–1992, 2005. View at Publisher · View at Google Scholar · View at Scopus
  3. Y. M. Akay, M. Akay, W. Welkowitz, J. L. Semmlow, and J. B. Kostis, “Noninvasive acoustical detection of coronary artery disease: a comparative study of signal processing methods,” IEEE Transactions on Biomedical Engineering, vol. 40, no. 6, pp. 571–578, 1993. View at Publisher · View at Google Scholar · View at Scopus
  4. Y. Suzuki, M. Fukasawa, T. Mori, O. Sakata, A. Hattori, and T. Kato, “Elemental study on auscultaiting diagnosis support system of hemodialysis shunt stenosis by ANN,” IEEJ Transactions on Electronics, Information and Systems, vol. 130, no. 3, pp. 401–406, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. Suzuki, M. Fukasawa, O. Sakata, H. Kato, A. Hattori, and T. Kato, “An auscultaiting diagnosis support system for assessing hemodialysis shunt stenosis by using self-organizing map,” IEEJ Transactions on Electronics, Information and Systems, vol. 131, no. 1, pp. 160–166, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. W. L. Chen, C. H. Lin, T. S. Chen, P. J. Chen, and C. D. Kan, “Stenosis detection algorithm using the Burg method of autoregressive model for hemodialysis patients: evaluation of arteriovenous shunt stenosis,” Journal of Medical and Biological Engineering, vol. 33, no. 4, pp. 356–362, 2013. View at Publisher · View at Google Scholar
  7. W.-L. Chen, T. Chen, C.-H. Lin, P.-J. Chen, and C.-D. Kan, “Phonoangiography with a fractional order chaotic system-a new and easy algorithm in analyzing residual arteriovenous access stenosis,” Medical & Biological Engineering & Computing, vol. 51, no. 9, pp. 1011–1019, 2013. View at Google Scholar
  8. P. O. Vesquez, M. M. Marco, and B. Mandersson, “Arteriovenous fistula stenosis detection using wavelets and support vector machines,” in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '09), pp. 1298–1301, Minneapolis, Minn, USA, September 2009. View at Scopus
  9. M. Gram, J. T. Olesen, H. C. Riis et al., “Stenosis detection algorithm for screening of arteriovenous fistulae,” in 15th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, vol. 34 of IFMBE Proceedings, pp. 241–244, Springer, Berlin, Germany, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. W.-L. Chen, C.-D. Kan, C.-H. Lin, and T. Chen, “A rule-based decision-making diagnosis system to evaluate arteriovenous shunt stenosis for hemodialysis treatment of patients using fuzzy petri nets,” IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 2, pp. 703–713, 2014. View at Publisher · View at Google Scholar
  11. D. H. Lee, J. H. Ahn, S. S. Jeong, K. S. Eo, and M. S. Park, “Routine transradial access for conventional cerebral angiography: a single operator's experience of its feasibility and safety,” The British Journal of Radiology, vol. 77, no. 922, pp. 831–838, 2004. View at Publisher · View at Google Scholar · View at Scopus
  12. P. Wiese and B. Nonnast-Daniel, “Colour doppler ultrasound in dialysis access,” Nephrology Dialysis Transplantation, vol. 19, no. 8, pp. 1956–1963, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. F. Basseau, N. Grenier, H. Trillaud et al., “Volume flow measurement in hemodialysis shunts using time-domain correlation,” Journal of Ultrasound in Medicine, vol. 18, no. 3, pp. 177–183, 1999. View at Google Scholar · View at Scopus
  14. T. Ogawa, O. Matsumura, A. Matsuda, H. Hasegawa, and T. Mitarai, “Brachial artery blood flow measurement: a simple and noninvasive method to evaluate the need for arteriovenous fistula repair,” Dialysis & Transplantation, vol. 40, no. 5, pp. 206–210, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. X. Xu, J. T. Yen, and K. K. Shung, “A low-cost bipolar pulse generator for high-frequency ultrasound applications,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 54, no. 2, pp. 443–447, 2007. View at Publisher · View at Google Scholar · View at Scopus
  16. X. Xu, L. Sun, J. M. Cannata, J. T. Yen, and K. K. Shung, “High-frequency ultrasound Doppler system for biomedical applications with a 30-MHz linear array,” Ultrasound in Medicine and Biology, vol. 34, no. 4, pp. 638–646, 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. E. L. Madsen, M. E. Deaner, and J. Mehi, “Properties of phantom tissuelike polymethylpentene in the frequency range 20–70 MHZ,” Ultrasound in Medicine and Biology, vol. 37, no. 8, pp. 1327–1339, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. C.-H. Lin, “Assessment of bilateral photoplethysmography for lower limb peripheral vascular occlusive disease using color relation analysis classifier,” Computer Methods and Programs in Biomedicine, vol. 103, no. 3, pp. 121–131, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. R. C. Gonzales and R. E. Woods, Digital Image Processing, Prentice Hall Press, 2002.
  20. A. Ratnaweera, S. K. Halgamuge, and H. C. Watson, “Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients,” IEEE Transactions on Evolutionary Computation, vol. 8, no. 3, pp. 240–255, 2004. View at Publisher · View at Google Scholar · View at Scopus
  21. J.-X. Wu, C.-H. Lin, Y.-C. Du, and T. Chen, “Sprott chaos synchronization classifier for diabetic foot peripheral vascular occlusive disease estimation,” IET Science, Measurement & Technology, Manuscript, vol. 6, no. 6, pp. 533–540, 2012. View at Google Scholar
  22. L. Sun, C.-L. Lien, X. Xu, and K. K. Shung, “In vivo cardiac imaging of adult zebrafish using high frequency ultrasound (45–75 MHz),” Ultrasound in Medicine and Biology, vol. 34, no. 1, pp. 31–39, 2008. View at Publisher · View at Google Scholar · View at Scopus
  23. V. Cucevic, A. S. Brown, and F. S. Foster, “Thermal assessment of 40-MHz pulsed Doppler ultrasound in human eye,” Ultrasound in Medicine and Biology, vol. 31, no. 4, pp. 565–573, 2005. View at Google Scholar
  24. L. C. Nguyen, F. T. H. Yu, and G. Cloutier, “Cyclic changes in blood echogenicity under pulsatile flow are frequency dependent,” Ultrasound in Medicine and Biology, vol. 34, no. 4, pp. 664–673, 2008. View at Publisher · View at Google Scholar · View at Scopus
  25. J.-X. Wu, Y.-C. Du, C.-H. Lin, P.-J. Chen, and T. Chen, “A novel bipolar pulse generator for high-frequency ultrasound system,” in Proceedings of the IEEE International Ultrasonics Symposium (IUS '13), pp. 1571–1574, Prague, Czech Republic, July 2013. View at Publisher · View at Google Scholar
  26. P. Fish, Physics and Instrumentation of Diagnostic Medical Ultrasound, John Wiley & Sons.
  27. W. Qiu, Y. Yu, F. K. Tsang, and L. Sun, “An FPGA-based open platform for ultrasound biomicroscopy,” IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol. 59, no. 7, pp. 1432–1442, 2012. View at Publisher · View at Google Scholar
  28. R. O. Bude and J. M. Rubin, “Relationship between the resistive index and vascular compliance and resistance,” Radiology, vol. 211, no. 2, pp. 411–417, 1999. View at Google Scholar · View at Scopus
  29. P. V. Ennezat, S. Marechaux, M. Six-Carpentier et al., “Renal resistance index and its prognostic significance in patients with heart failure with preserved ejection fraction,” Nephrology Dialysis Transplantation, vol. 26, no. 12, pp. 3908–3913, 2011. View at Publisher · View at Google Scholar · View at Scopus
  30. A. F. Stalder, A. Frydrychowicz, M. F. Russe et al., “Assessment of flow instabilities in the healthy aorta using flow-sensitive MRI,” Journal of Magnetic Resonance Imaging, vol. 33, no. 4, pp. 839–846, 2011. View at Publisher · View at Google Scholar · View at Scopus
  31. R. Maekawa, M. R. Smith, and S. W. van Sciver, “Pressure drop measurements of prototype NET and CEA cable-in-conduit conductors (CICCs),” IEEE Transactions on Applied Superconductivity, vol. 5, no. 2, pp. 741–744, 1995. View at Google Scholar · View at Scopus
  32. M. K. Banerjee, R. Ganguly, and A. Datta, “Effect of pulsatile flow waveform and Womersley number on the flow in stenosed arterial geometry,” ISRN Biomathematics, vol. 2012, Article ID 853056, 17 pages, 2012. View at Publisher · View at Google Scholar
  33. C.-M. Li, Y.-C. Du, J.-X. Wu et al., “Synchronizing chaotification with support vector machine and wolf pack search algorithm for estimation of peripheral vascular occlusion in diabetes mellitus,” Biomedical Signal Processing and Control, vol. 9, pp. 45–55, 2014. View at Publisher · View at Google Scholar