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Computer-Aided Diagnosis of Vascular Disease

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Book cover Vascular Surgery

Part of the book series: European Manual of Medicine ((EUROMANUAL))

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Abstract

To diagnose vascular disease,physicians usually base their decision on clinical history and physical examina- tion of the patient, as well as visual inspection of medi- cal images. In some cases, confirmation of the diagnosis is particularly difficult because it requires specialization and experience, or even the application of interventional methodologies (e.g. arteriography). While advances in medical imaging technology have greatly contributed to early detection and diagnosis of vascular disease, the selection of patients to whom surgery is offered remains one of the most challenging tasks in the management of vascular disease.

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References

  1. Aly S, Bishop CC (2000) An objective characterization of atherosclerotic lesion. Stroke 31:1921–1924

    PubMed  CAS  Google Scholar 

  2. Asvestas P, Golemati S, Matsopoulos GK, Nikita KS, Nicolaides AN (2002) Fractal dimension estimation of carotid atherosclerotic plaques from B-mode ultrasound: a pilot study. Ultrasound Med Biol 28:1129–1136

    Article  PubMed  Google Scholar 

  3. Bang J, Dahl T, Bruinsma A, Kaspersen JH, Hernes TAN, Myhre HO (2003) A new method for analysis of motion of carotid plaques from rf ultrasound images. Ultrasound Med Biol 29:967–976

    Article  PubMed  Google Scholar 

  4. Bankman I (2000) Handbook of medical imaging: processing and analysis. Academic Press, San Diego

    Google Scholar 

  5. Biasi GM, Sampaolo A, Mingazzini P, De Amicis P, El-Barghouty N, Nicolaides AN (1999) Computer analysis of ultrasonic plaque echolucency in identifying high risk carotid bifurcation lesions. Eur J Vasc Endovasc Surg 17:476–479

    Article  PubMed  CAS  Google Scholar 

  6. Caramella D, Reponen J, Fabbrini F, Bartolozzi C (2000) Teleradiology in Europe. Eur J Radiol 33:2–7

    Article  PubMed  CAS  Google Scholar 

  7. Cesarone MR, Belcaro G, Nicolaides AN, Geroulakos G, Bucci M, Dugall M, DeSanctis MT, Incandela L, Griffin M, Sabetai M (2001) Increase in echogenicity of echolucent carotid plaques after treatment with total triterpenic fraction of Centella asiatica: a prospective, placebo-controlled, randomized trial. Angiology 52[Suppl 2]:S19–S25

    PubMed  Google Scholar 

  8. Christodoulou CI, Pattichis CS, Pantziaris M, Nicolaides A (2003) Texture-based classification of atherosclerotic carotid plaques. IEEE Trans Med Imaging 22:902–912

    Article  PubMed  CAS  Google Scholar 

  9. Elatrozy T, Nicolaides A, Tegos T, Griffin M (1998) The objective characterisation of ultrasonic carotid plaque features. Eur J Vasc Endovasc Surg 16:223–230

    Article  PubMed  CAS  Google Scholar 

  10. El-Barghouty NM, Levine T, Ladva S, Flanagan A, Nicolaides AN (1996) Histological verification of computerized carotid plaque characterization. Eur J Vasc Endovasc Surg 11:414–416

    Article  PubMed  CAS  Google Scholar 

  11. Endean ED, Mallon LI, Minion DJ, Kwolek CJ, Schwarcz TH (2001) Telemedicine in vascular surgery: does it work? Am Surg 67:334–340

    PubMed  CAS  Google Scholar 

  12. Golemati S, Sassano A, Lever MJ, Bharath AA, Dhanjil S, Nicolaides AN (2003) Carotid artery wall motion estimated from B-mode ultrasound using region tracking and block-matching. Ultrasound Med Biol 29:387–399

    Article  PubMed  Google Scholar 

  13. Golemati S, Tegos TJ, Sassano A, Nikita KS, Nicolaides AN (2004) Echogenicity of b-mode sonographic images of the carotid artery — work-in-progress. J Ultrasound Med 23:659–669

    PubMed  Google Scholar 

  14. Gonzalez RC, Woods RE (1993) Digital image processing. Addison-Wesley, New York

    Google Scholar 

  15. Greenleaf JF, Fatemi M, Insana M (2003) Selected methods for imaging elastic properties of biological tissues. Annu Rev Biomed Eng 5:57–78

    Article  PubMed  CAS  Google Scholar 

  16. Haralick RM, Shanmugam K, Dinstein I (1973) Textural features for image classification. IEEE Trans Syst Man Cybern SMC:610–621

    Google Scholar 

  17. Horn BKP, Schunck BG (1981) Determining optical flow. Artificial Intelligence 17:185–203

    Article  Google Scholar 

  18. Hunt D, Haynes RB, Hanna S, Smith K (1998) Effects of computer-based clinical decision support systems on physician performance and patient outcomes. J Am Med Assoc 280:1339–1346

    Article  CAS  Google Scholar 

  19. Jain AK, Duin RPW, Jianchang M (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Machine Intell 22:4–37

    Article  Google Scholar 

  20. Kerut EK, Given M, Giles TD (2003) Review of methods for texture analysis of myocardium from echocardiographic images: a means of tissue characterization. Echocardiography 20:727–736

    Article  PubMed  Google Scholar 

  21. Kupinski MA, Giger ML (1999) Feature selection with limited datasets. Med Phys 26:2176–2182

    Article  PubMed  CAS  Google Scholar 

  22. Lal BK, Hobson RW, Pappas PJ et al (2002) Pixel distribution analysis of B-mode ultrasound scan images predicts histologic features of atherosclerotic carotid plaques. J Vasc Surg 35:1210–1217

    Article  PubMed  Google Scholar 

  23. Laws KI (1980) Rapid texture identification. Proc SPIE Conf Missile Guidance 238:376–380

    Google Scholar 

  24. Loizou CP, Pattichis CS, Istepanian RSH, Pantziaris M, Nicolaides AN (2004) Atherosclerotic carotid plaque segmentation. In: Proceedings of the 26th Annual International Conference of the IEEE EMBS, pp 1403–1406

    Google Scholar 

  25. Mandelbrot BB, Van Ness JW (1968) Fractional Brownian motion, fractional noises and applications. SIAM Rev 10:422–438

    Article  Google Scholar 

  26. Mazzone AM, Urbani MP, Picano E et al (1995) In vivo ultrasonic parametric imaging of carotid atherosclerotic plaque by videodensitometric technique. Angiology 46:663–672

    Article  PubMed  CAS  Google Scholar 

  27. Meairs S, Hennerici M (1999) Four-dimensional ultrasonographic characterization of plaque surface motion in patients with symptomatic and asymptomatic carotid artery stenosis. Stroke 30:1807–1813

    PubMed  CAS  Google Scholar 

  28. Ricci MA, Knight SJ, Nutter B, Callas PW (1998) Desktop telemedicine in vascular surgery: some preliminary findings. Telemed J 4:279–285

    PubMed  CAS  Google Scholar 

  29. Sonka M, McKay CR, von Birgelen C (1997) Computer analysis of intravascular ultrasound images. In: Leondes CT (ed.) Medical imaging techniques and applications. Gordon and Breach, Amsterdam, pp 183–226

    Google Scholar 

  30. Tegos TJ, Stavropoulos P, Sabetai MM, Khodabakhsh P, Sassano A, Nicolaides AN (2001) Determinants of carotid plaque instability: echoicity versus heterogeneity. Eur J Vasc Endovasc Surg 22:22–30

    Article  PubMed  CAS  Google Scholar 

  31. Vince DG, Dixon KJ, Cothren RM, Cornhill JF (2000) Comparison of texture analysis methods for the characterization of coronary plaques in intravascular ultrasound images. Comput Med Imag Grap 24:221–229

    Article  CAS  Google Scholar 

  32. Weszka JS, Dyer CR, Rosenfeld A (1976) A comparative study of texture measures for terrain classification. IEEE Trans Syst Man Cyber SMC 6:269–285

    Google Scholar 

  33. Wilhjelm JE, Grøholdt MLM, Wiebe B, Jespersen SK, Hansen LK, Sillesen H (1998) Quantitative analysis of ultrasound B-mode images of carotid atherosclerotic plaque: correlation with visual classification and histological examination. IEEE Trans Med Imaging 17:910–922

    Article  PubMed  CAS  Google Scholar 

  34. Zhao SZ, Xu XY, Collins MW (1998) The numerical analysis of fluid-solid interactions for blood flow in arterial structures. Part 1: A review of models for arterial wall behaviour. Proc Inst Mech Eng [H] 212:229–240

    CAS  Google Scholar 

  35. Zhang X, McKay CR, Sonka M (1998) Tissue characterization in intravascular ultrasound images. IEEE Trans Med Imaging 17:889–899

    Article  PubMed  CAS  Google Scholar 

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© 2007 Springer-Verlag Berlin Heidelberg

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Golemati, S., Nikita, K.S. (2007). Computer-Aided Diagnosis of Vascular Disease. In: Liapis, C.D., Balzer, K., Benedetti-Valentini, F., Fernandes e Fernandes, J. (eds) Vascular Surgery. European Manual of Medicine. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30956-7_7

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  • DOI: https://doi.org/10.1007/978-3-540-30956-7_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30955-0

  • Online ISBN: 978-3-540-30956-7

  • eBook Packages: MedicineMedicine (R0)

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