SpringerLink
Log in

Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis

  • Chapter
  • First Online:
Optimization and Data Analysis in Biomedical Informatics

Part of the book series: Fields Institute Communications ((FIC,volume 63))

  • 1137 Accesses

Abstract

Intravascular ultrasound (IVUS) is a catheter-based medical imaging modality that is capable of providing cross-sectional images of the interior of blood vessels. A comprehensive analysis of the IVUS data allows collecting information about the morphology and structure of the vessel and the atherosclerotic plaque, if present. Atherosclerotic plaque formation is considered to be a part of an inflammatory process. Recent evidence has suggested that the presence and proliferation of vasa vasorum (VV) in the plaque is correlated with the increase of plaque inflammation and the processes which lead to its destabilization. Hence, the detection and measurement of VV in plaque has the potential to enable the development of an index of plaque vulnerability. In this paper, we review the research at the Computational Biomedicine Lab towards the development of a complete pipeline for the detection and quantification of extra-luminal blood detection from IVUS data which may be an indication of the existence of VV.

Mathematics Subject Classification (2010): Primary 68U99, Secondary 68U01

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
EUR 29.95
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
EUR 42.79
Price includes VAT (Germany)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
EUR 53.49
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
EUR 53.49
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. K.R. Balakrishnan, S. Kuruvilla, Role of inflammation in atherosclerosis: Immunohistochemical and electron microscopic images of a coronary endarterectomy specimen. Circulation 113, e41–e43 (2006)

    Article  Google Scholar 

  2. K. Caballero, J. Barajas, O. Pujol, J. Mauri, P. Radeva. in In-Vivo IVUS Tissue Classification a Comparison Between Normalized Image Reconstruction and RF Signals Analysis. Proceedings of 11th Iberoamerican Congress on Pattern Recognition, Cancun, Mexico, pp. 137–146 (2006)

    Google Scholar 

  3. S. Carlier, I. Kakadiaris, N. Dib, M. Vavuranakis, C. Stephanadis, S. O’Malley, C. Hartley, R. Metcalfe, R. Mehran, E. Falk, K. Gul, M. Naghavi, Vasa vasorum imaging: A new window to the clinical detection of vulnerable atherosclerotic plaques. Curr. Atherosclerosis Rep. 7(2), 164–169 (2005)

    Article  Google Scholar 

  4. F. Chen, P. Eriksson, T. Kimura, I. Herzfeld, G. Valen, Apoptosis and angiogenesis are induced in the unstable coronary atherosclerotic plaque. Coron. Artery Dis. 16(3), 191–197 (2005)

    Article  Google Scholar 

  5. F. Ciompi, O. Pujol, E. Fernandez-Nofrerias, J. Mauri, P. Radeva, in ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences. Proceedings of 12th International Conference on Medical Image Computing and Computer Assisted Intervention, London, UK, pp. 869–876, 20–24 September 2009

    Google Scholar 

  6. R. Downe, A. Wahle, T. Kovarnik, H. Skalicka, J. Lopez, J. Horak, M. Sonka. in Segmentation of Intravascular Ultrasound Images Using Graph Search and a Novel Cost Function. Proceedings of 2nd MICCAI Workshop on Computer Vision for Intravascular and Intracardiac Imaging, New York, NY, pp. 71–79, 10 September 2008

    Google Scholar 

  7. M. Fleiner, M. Kummer, M. Mirlacher, G. Sauter, G. Cathomas, R. Krapf, B.C. Biedermann, Arterial neovascularization and inflammation in vulnerable patients. Circulation 110(18), 2843–2850 (2004)

    Article  Google Scholar 

  8. D.E. Goertz, M.E. Frijlink, N. de Jong, A.F. van der Steen, Nonlinear intravascular ultrasound contrast imaging. Ultrasound Med. Biol. 32(4), 491–502 (2006)

    Article  Google Scholar 

  9. D.E. Goertz, M.E. Frijlink, D. Tempel, V. Bhagwandas, A. Gisolf, R. Krams, N. de Jong, A.F.W. van der Steen, Subharmonic contrast intravascular ultrasound for vasa vasorum imaging. Ultrasound Med. Biol. 33(12), 1859–1872 (2007)

    Article  Google Scholar 

  10. M. Gossl, N. Malyar, M. Rosol, P. Beighley, E. Ritman, Impact of coronary vasa vasorum functional structure on coronary vessel wall perfusion distribution. Am. J. Physiol. Heart Circ. Physiol. 285(5), H2019–H2026 (2003)

    Google Scholar 

  11. J. Granada, S. Feinstein, Imaging of the vasa vasorum. Nat. Rev. Cardiol. 5(2s), S18–S25 (2008)

    Google Scholar 

  12. M. Hayden, S. Tyagi, Vasa vasorum in plaque angiogenesis, metabolic syndrome, type 2 diabetes mellitus, and atheroscleropathy: A malignant transformation. Cardiovascular Diabetol. 3(1) (2004)

    Google Scholar 

  13. D.D. Heistad, M.L. Marcus, Role of vasa vasorum in nourishment of the aorta. Blood Ves. 16, 225–238 (1979)

    Google Scholar 

  14. I. Kakadiaris, S. O’Malley, M. Vavuranakis, S. Carlier, R. Metcalfe, C. Hartley, E. Falk, M. Naghavi, Signal processing approaches to risk assessment in coronary artery disease. IEEE Signal Process. Mag. 23(6), 59–62 (2006)

    Article  Google Scholar 

  15. I. Kakadiaris, U. Kurkure, E. Mendizabal-Ruiz, M. Naghavi, in Towards Cardiovascular Risk Stratification Using Imaging Data. Proceedings of 31st International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, MN,, pp. 1918–1921, 2–6 September 2009

    Google Scholar 

  16. A. Katouzian, B. Baseri, E.E. Konofagou, A.F. Laine, in An Alternative Approach to Spectrum-Based Atherosclerotic Plaque Characterization Techniques Using Intravascular Ultrasound (IVUS) Backscattered Signals. Proceedings of 2nd MICCAI Workshop on Computer Vision for Intravascular and Intracardiac Imaging, New York, NY, 2008

    Google Scholar 

  17. A. Katouzian, B. Baseri, E. Konofagou, A. Laine, in Automatic Detection of Blood Versus Non-Blood Regions on Intravascular Ultrasound (IVUS) Images Using Wavelet Packet Signatures. Proceedings of SPIE Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, San Diego, CA, 16–21 February 2008

    Google Scholar 

  18. M. Kawasaki, H. Takatsu, T. Noda, Y. Ito, A. Kunishima, M. Arai, K. Nishigaki, G. Takemura, N. Morita, S. Minatoguchi, H. Fujiwara, Noninvasive quantitative tissue characterization and two-dimensional color-coded map of human atherosclerotic lesions using ultrasound integrated backscatter: Comparison between histology and integrated backscatter images. J. Am. Coll. Cardiol. 38(2), 486–492 (2001)

    Article  Google Scholar 

  19. M. Kawasaki, H. Takatsu, T. Noda, K. Sano, Y. Ito, K. Hayakawa, K. Tsuchiya, M. Arai, K. Nishigaki, G. Takemura, S. Minatoguchi, T. Fujiwara, H. Fujiwara, In vivo quantitative tissue characterization of human coronary arterial plaques by use of integrated backscatter intravascular ultrasound and comparison with angioscopic findings. Circulation 105, 2487–2492 (2002)

    Article  Google Scholar 

  20. M. Kawasaki, B. Bouma, J. Bressner, S. Houser, S. Nadkarni, B. MacNeill, I. Jang, H. Fujiwara, G. Tearney, Diagnostic accuracy of optical coherence tomography and integrated backscatter intravascular ultrasound images for tissue characterization of human coronary plaques. J. Am. Coll. Cardiol. 48(1), 81–88 (2006)

    Article  Google Scholar 

  21. F. Kolodgie, H. Gold, A. Burke, D. Fowler, H. Kruth, D. Weber, A. Farb, L. Guerrero, M. Hayase, R. Kutys, J. Narula, A. Finn, R. Virmani, Intraplaque hemorrhage and progression of coronary atheroma. New Engl. J. Med. 349(24), 2316–2325 (2003)

    Article  Google Scholar 

  22. A.C. Langheinrich, A. Michniewicz, D.G. Sedding, G. Walker, P.E. Beighley, W.S. Rau, R.M. Bohle, E.L. Ritman, Correlation of vasa vasorum neovascularization and plaque progression in aortas of apolipoprotein E(-/-)/low-density lipoprotein(-/-) double knockout mice. Arterioscler. Thromb. Vasc. Biol. 26(2), 347–352 (2006)

    Article  Google Scholar 

  23. E. Mendizabal-Ruiz, G. Biros, I.A. Kakadiaris, in An Inverse Scattering Algorithm for the Segmentation of the Luminal Border on Intravascular Ultrasound Data. Proceedings of 12th International Conference on Medical Image Computing and Computer Assisted Intervention, London, UK, pp. 885–892, 20–24 September 2009

    Google Scholar 

  24. E. Mendizabal-Ruiz, I. Kakadiaris, in One-Class Acoustic Characterization Applied to Contrast Agent Detection in IVUS. Proceedings of International Workshop on Computer Vision for Intravascular and Intracardiac Imaging, New York, NY, 10 September 2008

    Google Scholar 

  25. E. Mendizabal-Ruiz, M. Rivera, I. Kakadiaris, in A Probabilistic Segmentation Method for the Identification of Luminal Borders in Intravascular Ultrasound Images. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, AK, pp. 1–8, 24–26 June 2008

    Google Scholar 

  26. A.K. Mitra, A.S. Dhume, D.K. Agrawal, “Vulnerable plaques” – ticking of the time bomb. Can. J. Physiol. Pharmacol. 82(10), 860–871 (2004)

    Article  Google Scholar 

  27. M. Naghavi, P. Libby, E. Falk, S. Casscells, S. Litovsky, J. Rumberger, J. Badimon, C. Stefanadis, P. Moreno, G. Pasterkamp, Z. Fayad, P. Stone, S. Waxman, P. Raggi, M. Madjid, A. Zarrabi, A. Burke, C. Yuan, P. Fitzgerald, D. Siscovick, C. de Korte, M. Aikawa, K. Airaksinen, G. Assmann, C. Becker, J. Chesebro, A. Farb, Z. Galis, C. Jackson, I. Jang, W. Koenig, R. Lodder, K. March, J. Demirovic, M. Navab, S. Priori, M. Rekhter, R. Bahr, S. Grundy, R. Mehran, A. Colombo, E. Boerwinkle, C. Ballantyne, J. Insull, W., R. Schwartz, R. Vogel, P. Serruys, G. Hansson, D. Faxon, S. Kaul, H. Drexler, P. Greenland, J. Muller, R. Virmani, P. Ridker, D. Zipes, P. Shah, J. Willerson, From vulnerable plaque to vulnerable patient: A call for new definitions and risk assessment strategies: Part I. Circulation 108(14), 1664–1672 (2003)

    Google Scholar 

  28. M. Naghavi, P. Libby, E. Falk, S. Casscells, S. Litovsky, J. Rumberger, J. Badimon, C. Stefanadis, P. Moreno, G. Pasterkamp, Z. Fayad, P. Stone, S. Waxman, P. Raggi, M. Madjid, A. Zarrabi, A. Burke, C. Yuan, P. Fitzgerald, D. Siscovick, C. de Korte, M. Aikawa, K. Airaksinen, G. Assmann, C. Becker, J. Chesebro, A. Farb, Z. Galis, C. Jackson, I. Jang, W. Koenig, R. Lodder, K. March, J. Demirovic, M. Navab, S. Priori, M. Rekhter, R. Bahr, S. Grundy, R. Mehran, A. Colombo, E. Boerwinkle, C. Ballantyne, W. Insull, R. Schwartz, R. Vogel, P. Serruys, G. Hansson, D. Faxon, S. Kaul, H. Drexler, P. Greenland, J. Muller, R. Virmani, P. Ridker, D. Zipes, P. Shah, J. Willerson, From vulnerable plaque to vulnerable patient: A call for new definitions and risk assessment strategies: Part II. Circulation 108(15), 1772–1778 (2003)

    Article  Google Scholar 

  29. M. Naghavi, E. Falk, H. Hecht, M. Jamieson, S. Kaul, D. Berman, Z. Fayad, M. Budoff, J. Rumberger, T. Naqvi, L. Shaw, O. Faergeman, J. Cohn, R. Bahr, W. Koenig, J. Demirovic, D. Arking, V. Herrera, J. Badimon, J. Goldstein, Y. Rudy, J. Airaksinen, R. Schwartz, W. Riley, R. Mendes, P. Douglas, P. Shah, From vulnerable plaque to vulnerable patient-Part III: Executive summary of the Screening for Heart Attack Prevention and Education (SHAPE) Task Force report. Am. J. Cardiol. 98(2A), 2H–15H (2006); SHAPE Task Force Consensus Development Conference Journal Article Review United States

    Google Scholar 

  30. A. Nair, B. Kuban, E. Tuzcu, P. Schoenhagen, S. Nissen, D. Vince, Coronary plaque classification with intravascular ultrasound radiofrequency data analysis. Circulation 106(17), 2200–2206 (2002)

    Article  Google Scholar 

  31. A. Nair, M. Margolis, B. Kuban, D. Vince, Automated coronary plaque characterisation with intravascular ultrasound backscatter: Ex vivo validation. Eurointervention 3(1), 113–120 (2007)

    Google Scholar 

  32. K. Nasu, E. Tsuchikane, O. Katoh, D. G. Vince, R. Virmani, J. F. Surmely, A. Murata, Y. Takeda, T. Ito, M. Ehara, T. Matsubara, M. Terashima, T. Suzuki, Accuracy of in vivo coronary plaque morphology assessment: A validation study of in vivo virtual histology compared with in vitro histopathology. J. Am. Coll. Cardiol. 47(12), 2405–2412 (2006)

    Article  Google Scholar 

  33. S. O’Malley, M. Naghavi, I. Kakadiaris, in Image-Based Frame Gating for Stationary-Catheter IVUS Sequences. Proceedings of International Workshop on Computer Vision for Intravascular and Intracardiac Imaging, Copenhagen, Denmark, pp. 14–21, 1–6 October 2006

    Google Scholar 

  34. S. O’Malley, M. Vavuranakis, R. Metcalfe, C. Hartley, M. Naghavi, I. Kakadiaris, in Intravascular Ultrasound-Based Imaging Of Vasa Vasorum for the Detection of Vulnerable Atherosclerotic Plaque. Proceedings of Houston Society for Engineering in Medicine and Biology, Houston, TX, 2006

    Google Scholar 

  35. S. O’Malley, S. Carlier, M. Naghavi, I. Kakadiaris, in Image-Based Frame Gating of IVUS Pullbacks: A Surrogate for ECG. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, HI, pp. 433–436, 15–20 April 2007

    Google Scholar 

  36. S.M. O’Malley, M. Naghavi, I.A. Kakadiaris, in One-Class Acoustic Characterization Applied to Blood Detection in IVUS. Proceedings of 10th International Conference on Medical Image Computing and Computer Assisted Intervention, Brisbane, Australia, pp. 202–209, 29 October–2 November 2007

    Google Scholar 

  37. S. O’Malley, J. Granada, S. Carlier, M. Naghavi, I. Kakadiaris, Image-based gating of intravascular ultrasound pullback sequences. IEEE Trans. Inform. Tech. Biomed. 12(3), 299–306 (2008)

    Article  Google Scholar 

  38. M. Papadogiorgaki, V. Mezaris, Y. Chatzizisis, G. Giannoglou, I. Kompatsiaris, Image analysis techniques for automated IVUS contour detection. Ultrasound Med. Biol. 34(9), 1482–1498 (2008)

    Article  Google Scholar 

  39. J.R. Rice, J.S. White, Norms for smoothing and estimation. Soc. Ind. Appl. Math. Rev. 243–256 (1964)

    Google Scholar 

  40. G.A. Rodriguez-Granillo, E.P. McFadden, M. Valgimigli, C.A. van Mieghem, E. Regar, P.J. de Feyter, P.W. Serruys, Coronary plaque composition of nonculprit lesions, assessed by in vivo intracoronary ultrasound radio frequency data analysis, is related to clinical presentation. Am. Heart J. 151(5), 1020–1024 (2006)

    Article  Google Scholar 

  41. A. Roodaki, A. Taki, S.K. Setarehdan, N. Navab, Modified Wavelet Transform Features for Characterizing Different Plaque Types in IVUS Images; A Feasibility Study. Proceedings of 9th International Conference on Signal Processing, Bei**g, China, pp. 789–792, 26–29 October 2008

    Google Scholar 

  42. E. Sanidas, M. Vavuranakis, T. Papaioannou, I. Kakadiaris, S. Carlier, G. Syros, G. Dangas, C. Stefanadis, Study of atheromatous plaque using intravascular ultrasound. Hellenic J. Cardiol. 49(6), 415–421 (2008)

    Google Scholar 

  43. K.K. Shung, M.B. Smith, B. Tsui, Principles of Medical Imaging. (Academic, NY, 1992)

    Google Scholar 

  44. A. Taki, Z. Najafi, A. Roodaki, S. Setarehdan, R. Zoroofi, A. Konig, N. Navab, Automatic segmentation of calcified plaques and vessel borders in IVUS images. Int. J. Comp. Assist. Radiol. Surg. 3(3–4), 347–354 (2008)

    Article  Google Scholar 

  45. G. Unal, S. Bucher, S. Carlier, G. Slabaugh, T. Fang, K. Tanaka, Shape-driven segmentation of the arterial wall in intravascular ultrasound images. IEEE Trans. Inform. Tech. Biomed. 12(3), 335–347 (2008)

    Article  Google Scholar 

  46. M. Vavuranakis, I. Kakadiaris, S. O’Malley, T. Papaioannou, E. Sanidas, S. Carlier, M. Naghavi, C. Stefanadis, Contrast enhanced intravascular ultrasound for the detection of vulnerable plaques: A combined morphology and activity-based assessment of plaque vulnerability. Expert Rev. Cardiovasc. Ther. (2005)

    Google Scholar 

  47. M. Vavuranakis, I. Kakadiaris, S. O’Malley, C. Stefanadis, S. Vaina, M. Drakopoulou, I. Mitropoulos, S. Carlier, M. Naghavi, Detection of luminal-intima border and coronary wall enhancement in intravascular ultrasound imaging after injection of microbubbles and simultaneous sonication with transthoracic echocardiography. Circulation 112(1), E1–E2 (2005)

    Article  Google Scholar 

  48. M. Vavuranakis, T. Papaioannou, I. Kakadiaris, S. O’Malley, M. Naghavi, K. Filis, E. Sanidas, A. Papalois, I. Stamatopoulos, C. Stefanadis, Detection of perivascular blood flow in vivo by contrast-enhanced intracoronary ultrasonography and image analysis: An animal study. Clin. Exp. Pharmacol. Physiol. 34(12), 1319–1323 (2007)

    Article  Google Scholar 

  49. M. Vavuranakis, I. Kakadiaris, S. O’Malley, T. Papaioannou, E. Sanidas, M. Naghavi, S. Carlier, D. Tousoulis, C. Stefanadis, A new method for assessment of plaque vulnerability based on vasa vasorum imaging, by using contrast-enhanced intravascular ultrasound and automated differential image analysis. Int. J. Cardiol. 130(1), 23–29 (2008)

    Article  Google Scholar 

  50. D. Vince, K. Dixon, R. Cothren, J. Cornhill, Comparison of texture analysis methods for the characterization of coronary plaques in intravascular ultrasound images. Comp. Med. Imag. Graph. 24(4), 221–229 (2000)

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the Eckhard Pfeiffer Endowed Fund and by NSF grants IIS-0431144, CNS-0521527 and DMS-0915242. The second author was supported in part by CONACYT. Any opinions, findings, conclusions or recommendations expressed in this material are the authors’ and may not reflect the views of the sponsors.

Author information

Authors and Affiliations

  1. Computational Biomedicine Lab, Departments of Computer Science, Electrical and Computer Engineering, and Biomedical Engineering, University of Houston, Houston, TX, 77204, USA

    Ioannis A. Kakadiaris

  2. Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX, 77204, USA

    E. Gerardo Mendizabal Ruiz

Authors
  1. Ioannis A. Kakadiaris
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. E. Gerardo Mendizabal Ruiz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ioannis A. Kakadiaris .

Editor information

Editors and Affiliations

  1. , Department of Industrial & Systems Engin, University of Florida, Weil Hall 401, Gainesville, 32611, Florida, USA

    Panos M. Pardalos

  2. , Department of Mathematics, University of Waterloo, University Avenue West 200, Waterloo, N2L 3G1, Ontario, Canada

    Thomas F. Coleman

  3. , Department of Industrial Engineering, University of Central Florida, Central Florida Blvd 4000, Orlando, 32816, Florida, USA

    Petros Xanthopoulos

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Kakadiaris, I.A., Ruiz, E.G.M. (2013). Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis. In: Pardalos, P., Coleman, T., Xanthopoulos, P. (eds) Optimization and Data Analysis in Biomedical Informatics. Fields Institute Communications, vol 63. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4133-5_6

Download citation

Publish with us

Policies and ethics

Search

Navigation