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DESIGN AND IMPLEMENTATION OF THE WORKPLACE FOR IMAGING AND AFTERWARDS MEASUREMENT OF THE PLATE IN THE AREA OF THE CAROTIC ARTERY

Lichev, Lachezar, Krumnikl, Michal, Skanderova, Lenka, Fabian, Tomas

First published: 2013-06-20https://doi.org/10.5593/sgem2013/bb2.v1/s07.013View metrics

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Title
DESIGN AND IMPLEMENTATION OF THE WORKPLACE FOR IMAGING AND AFTERWARDS MEASUREMENT OF THE PLATE IN THE AREA OF THE CAROTIC ARTERY
Authors
Lichev, Lachezar, Krumnikl, Michal, Skanderova, Lenka, Fabian, Tomas
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 13th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2013
Pages
101 - 108 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References38

  1. R. Corti, V. Fuster, Imaging of atherosclerosis: magnetic resonance imaging, European Heart Journal, 32 (14), (2011), p.1709, DOI: 10.1093/eurheartj/ehr068

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  2. Parmar, J. P., Rogers, W. J., Mugler, J. P., Baskurt, E., Altes, T. A., Nandalur, K. R., Stukenborg, G. J., Magnetic resonance imaging of carotid atherosclerotic plaque in clinically suspected acute transient ischemic attack and acute ischemic stroke. et al. Circulation, (2010), 122(20), p.2031-2038.

  3. Tearney, G. J., Jang, I.-K., &Bouma, B. E., Optical coherence tomography for imaging the vulnerable plaque. Journal of Biomedical Optics, (2006), 11(2), 021002. SPIE.

  4. Chen, W. Q., Zhang, L., Liu, Y. F., Chen, L., Ji, X. P., Zhang, M., Zhao, Y. X., et al.). Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers. American journal of physiology Heart and circulatory physiology, (2007293(5)), H2836-H2844. GeoConference on Informatics, Geoinformatics and Remote Sensing

  5. Ge, J., Erbel, R., Gerber, T., Görge, G., Koch, L., Haude, M., & Meyer, J., Intravascular ultrasound imaging of angiographically normal coronary arteries: a prospective study in vivo. British Heart Journal, 71(6), (1994), p. 572-578.

  6. C.P Allott, C.D Barry, J Bramley, N.W John, P.M Mellor, D.S Thomson, C.F Reilly, Noninvasive 3-D ultrasound of atherosclerotic plaques in the Watanabe rabbit, Ultrasound in Medicine and Biology – (July 1999) (Vol. 25, Issue 6, p. 905-914)

  7. Chiu, Bernard and Egger, Micaela and Spence, J. and Parraga, Grace and Fenster, Aaron, Development of 3D ultrasound techniques for carotid artery disease assessment and monitoring, International Journal of Computer Assisted Radiology and Surgery,3:1, p. 1-10, Springer, (2008), DOI: 10.1007/s11548-008 -0158-0

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  8. Bo L. Lind, Jens Fagertun, Jens E. Wilhjelm, Maja S. Jensen, HenrikSillesen, 3D Reconstruction of Carotid Atherosclerotic Plaque: Comparison Between Spatial Compound Ultrasound Models and Anatomical Models,: Ultrasound in Medicine and Biology - ULTRASOUND MED BIOL, vol. 33, no. 7, (2007), p. 1064-1074, DOI: 10.1016/j.ultrasmedbio.2007.01.011

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  9. Yuan, C., Mitsumori, L. M., Beach, K. W., &Maravilla, K. R., Carotid atherosclerotic plaque: noninvasive MR characterization and identification of vulnerable lesions. Radiology, 221(2), (2001), p. 285-299.

  10. K Lekadir, R Merrifield, GZ Yang, Atherosclerosis - Plaque Burden Assessment and Classification using MRI, Hounsfield Memorial Lecture, (2006).

  11. KarimLekadir and Guang-Zhong Yang., Carotid artery segmentation using an outlier immune 3d active shape models framework. In Proceedings of the 9th inter. conference on Medical Image Computing and Computer-Assisted Intervention – Vol. Part I (MICCAI'06), Rasmus Larsen, Mads Nielsen, and Jon Sporring (Eds.), Vol. Part I. Springer-Verlag, Berlin, Heidelberg, (2006), p. 620-627.

  12. Yang F, Holzapfel G, Schulze-Bauer C, Stollberger R, Thedens D, Bolinger L, Stolpen A, and Sonka M, "Segmentation of wall and plaque in in-vitro vascular MR images," Inter. Journal of Cardiovascular Imaging, vol. 19, (2003), p. 419-428.

  13. Ladak HM, Thomas JB, Mitchell JR, Rutt BK, and Steinman DA, "A semi- automatic technique for measurement of arterial wall from black blood MRI," Medical Physics, vol. 28, (2001), p. 1098-1107.

  14. ATmega128 datasheet rev, http://www.atmel.com/Images/ 2467S.pdf

  15. Marc Gertsch, C.P. Cannon, The Ecg: A Two-Step Approach to Diagnosis, Springer, ISBN 3540008691, (2003).

  16. Krejcar, O.; Spicka, I. &Frischer, R., 'Micro Operation System for Microprocessor Applications', ELEKTRONIKA IR ELEKTROTECHNIKA(8), (2011), p. 83-88.

  17. Ličev, L.: IGA/07/2006: Nové algoritmy a technické prostředky pro zpracování obrazových a multimediálních dat ve vědeckých, průmyslových, lékařských a mobilních aplikacích. Dílčí část: Nové metody a algoritmy pro zpracování a analýzu obrazu, FEI VŠB TU Ostrava, 2006 – 2007.

  18. Ličev, L.: IGA/07/2007: Biomedicínské inženýrské systémy III. Dílčí část: Realizace metod a postupů zpracování a vyhodnocení obrazových dat z lékařských aplikací, FEI VŠB TU Ostrava, 2007 – 2008.

  19. Ličev, L.: IGA/2/2008: Biomedicínské inženýrské systémy. Dílčí část: Zpracování snímků v lékařských aplikacích, FEI VŠB TU Ostrava, 2008.

  20. R. Corti, V. Fuster, Imaging of atherosclerosis: magnetic resonance imaging, European Heart Journal, 32 (14), (2011), p.1709, DOI: 10.1093/eurheartj/ehr068

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  21. Parmar, J. P., Rogers, W. J., Mugler, J. P., Baskurt, E., Altes, T. A., Nandalur, K. R., Stukenborg, G. J., Magnetic resonance imaging of carotid atherosclerotic plaque in clinically suspected acute transient ischemic attack and acute ischemic stroke. et al. Circulation, (2010), 122(20), p.2031-2038.

  22. Tearney, G. J., Jang, I.-K., &Bouma, B. E., Optical coherence tomography for imaging the vulnerable plaque. Journal of Biomedical Optics, (2006), 11(2), 021002. SPIE.

  23. Chen, W. Q., Zhang, L., Liu, Y. F., Chen, L., Ji, X. P., Zhang, M., Zhao, Y. X., et al.). Prediction of atherosclerotic plaque ruptures with high-frequency ultrasound imaging and serum inflammatory markers. American journal of physiology Heart and circulatory physiology, (2007293(5)), H2836-H2844. GeoConference on Informatics, Geoinformatics and Remote Sensing

  24. Ge, J., Erbel, R., Gerber, T., Görge, G., Koch, L., Haude, M., & Meyer, J., Intravascular ultrasound imaging of angiographically normal coronary arteries: a prospective study in vivo. British Heart Journal, 71(6), (1994), p. 572-578.

  25. C.P Allott, C.D Barry, J Bramley, N.W John, P.M Mellor, D.S Thomson, C.F Reilly, Noninvasive 3-D ultrasound of atherosclerotic plaques in the Watanabe rabbit, Ultrasound in Medicine and Biology – (July 1999) (Vol. 25, Issue 6, p. 905-914)

  26. Chiu, Bernard and Egger, Micaela and Spence, J. and Parraga, Grace and Fenster, Aaron, Development of 3D ultrasound techniques for carotid artery disease assessment and monitoring, International Journal of Computer Assisted Radiology and Surgery,3:1, p. 1-10, Springer, (2008), DOI: 10.1007/s11548-008 -0158-0

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  27. Bo L. Lind, Jens Fagertun, Jens E. Wilhjelm, Maja S. Jensen, HenrikSillesen, 3D Reconstruction of Carotid Atherosclerotic Plaque: Comparison Between Spatial Compound Ultrasound Models and Anatomical Models,: Ultrasound in Medicine and Biology - ULTRASOUND MED BIOL, vol. 33, no. 7, (2007), p. 1064-1074, DOI: 10.1016/j.ultrasmedbio.2007.01.011

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  28. Yuan, C., Mitsumori, L. M., Beach, K. W., &Maravilla, K. R., Carotid atherosclerotic plaque: noninvasive MR characterization and identification of vulnerable lesions. Radiology, 221(2), (2001), p. 285-299.

  29. K Lekadir, R Merrifield, GZ Yang, Atherosclerosis - Plaque Burden Assessment and Classification using MRI, Hounsfield Memorial Lecture, (2006).

  30. KarimLekadir and Guang-Zhong Yang., Carotid artery segmentation using an outlier immune 3d active shape models framework. In Proceedings of the 9th inter. conference on Medical Image Computing and Computer-Assisted Intervention – Vol. Part I (MICCAI'06), Rasmus Larsen, Mads Nielsen, and Jon Sporring (Eds.), Vol. Part I. Springer-Verlag, Berlin, Heidelberg, (2006), p. 620-627.

  31. Yang F, Holzapfel G, Schulze-Bauer C, Stollberger R, Thedens D, Bolinger L, Stolpen A, and Sonka M, "Segmentation of wall and plaque in in-vitro vascular MR images," Inter. Journal of Cardiovascular Imaging, vol. 19, (2003), p. 419-428.

  32. Ladak HM, Thomas JB, Mitchell JR, Rutt BK, and Steinman DA, "A semi- automatic technique for measurement of arterial wall from black blood MRI," Medical Physics, vol. 28, (2001), p. 1098-1107.

  33. ATmega128 datasheet rev, http://www.atmel.com/Images/ 2467S.pdf

  34. Marc Gertsch, C.P. Cannon, The Ecg: A Two-Step Approach to Diagnosis, Springer, ISBN 3540008691, (2003).

  35. Krejcar, O.; Spicka, I. &Frischer, R., 'Micro Operation System for Microprocessor Applications', ELEKTRONIKA IR ELEKTROTECHNIKA(8), (2011), p. 83-88.

  36. Ličev, L.: IGA/07/2006: Nové algoritmy a technické prostředky pro zpracování obrazových a multimediálních dat ve vědeckých, průmyslových, lékařských a mobilních aplikacích. Dílčí část: Nové metody a algoritmy pro zpracování a analýzu obrazu, FEI VŠB TU Ostrava, 2006 – 2007.

  37. Ličev, L.: IGA/07/2007: Biomedicínské inženýrské systémy III. Dílčí část: Realizace metod a postupů zpracování a vyhodnocení obrazových dat z lékařských aplikací, FEI VŠB TU Ostrava, 2007 – 2008.

  38. Ličev, L.: IGA/2/2008: Biomedicínské inženýrské systémy. Dílčí část: Zpracování snímků v lékařských aplikacích, FEI VŠB TU Ostrava, 2008.

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