Algorithm optimization for quantitative analysis of intravascular Optical Coherence Tomography data

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7161, Issue , 2009, Pages

  Van Soes, Gijs ^a   Goderie, Thadé P M ^a   Van Noorden, Sander ^a   Van Der Steen, Anton F W ^a,b  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b ROYAL NETHERLANDS ACADEMY OF ARTS AND SCIENCES   (Netherlands)

Author keywords

Algorithm optimization; Atherosclerosis; OCT; Optical attenuation; Simulation

Indexed keywords

ALGORITHM OPTIMIZATION; ATHEROSCLEROSIS; OCT; OPTICAL ATTENUATION; SIMULATION;

COHERENT LIGHT; LIGANDS; OPTICAL TOMOGRAPHY; OPTICAL TRANSFER FUNCTION; OPTIMIZATION; TOMOGRAPHY;

ELECTROMAGNETIC WAVE ATTENUATION;

EID: 66249135304     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.807344     Document Type: Conference Paper

References (36)

1. Falk, E., P.K. Shah, and V. Fuster, Coronary Plaque Disruption. Circulation, 1995. 92(3): p. 657-671.
2. Virmani, R., et al., Lessons from sudden coronary death - A comprehensive morphological classification scheme for atherosclerotic lesions. Arterioscler. Thromb. Vasc. Biol., 2000. 20(5): p. 1262-1275.
3. Falk, E., Plaque rupture with severe pre-existing stenosis precipitating coronary thrombosis. Characteristics of coronary atherosclerotic plaques underlying fatal occlusive thrombi. Br. Heart J., 1983. 50(2): p. 127-134.
4. Kolodgie, F.D., et al., The thin-cap fibroatheroma: a type of vulnerable plaque - The major precursor lesion to acute coronary syndromes. Curr. Opin. Cardiol., 2001. 16(5): p. 285-292.
5. Schaar, J.A., et al., Terminology for high-risk and vulnerable coronary artery plaques. Eur. Heart J., 2004. 25(12): p. 1077-1082.
6. Serruys, P.W., H.M. Garcia-Garcia, and E. Regar, From Postmortem Characterization to the In Vivo Detection of Thin-Capped Fibroatheromas: The Missing Link Toward Percutaneous Treatment: What If Diogenes Would Have Found What He Was Looking For? J. Am. Coli. Cardiol., 2007. 50(10): p. 950-952.
7. Waxman, S., F. Ishibashi, and J.E. Muller, Detection and treatment of vulnerable plaques and vulnerable patients - Novel approaches to prevention of coronary events. Circulation, 2006. 114(22): p. 2390-2411.
8. Richardson, P.D., M.J. Davies, and G.V. Born, Influence of plaque configuration and stress distribution on fissuring of coronary atherosclerotic plaques. Lancet, 1989. 334(8669): p. 941-944.
9. Virmani, R., et al., Atherosclerotic plaque progression and vulnerability to rupture - Angiogenesis as a source of intraplaque hemorrhage. Arterioscler. Thromb. Vase. Biol., 2005. 25(10): p. 2054-2061.
10. Falk, E., Pathogenesis of atherosclerosis. J. Am. Coli. Cardiol., 2006. 47(8): p. C7-C12.
11. Schaar, J.A., et al., Characterizing vulnerable plaque features with intravascular elastography. Circulation, 2003. 108(21): p. 2636-2641.
12. de Korte, C.L., et al., Identification of atherosclerotic plaque components with intravascular ultrasound elastography in vivo: A Yucatan pig study. Circulation, 2002. 105(14): p. 1627-1630.
13. Goertz, D.E., et al., Subharmonic contrast intravascular ultrasound for vasa vasorum imaging. Ultrasound Med. Biol., 2007. 33(12): p. 1859-1872.
14. Goertz, D.E., et al., Contrast harmonic intravascular ultrasound - A feasibility study for vasa vasorum imaging. Invest. Radiol., 2006. 41(8): p. 631-638.
15. Moreno, P.R., et al., Detection of Lipid Pool, Thin Fibrous Cap, and Inflammatory Cells in Human Aortic Atherosclerotic Plaques by Near-Infrared Spectroscopy. Circulation, 2002. 105(8): p. 923-927.
16. MacNeill, B.D., et al., Focal and multi-focal plaque distributions in patients with macrophage acute and stable presentations of coronary artery disease. J. Am. Coll. Cardiol., 2004. 44(5): p. 972-979.
17. Takano, M., et al., In vivo comparison of optical coherence tomography and angioscopy for the evaluation of coronary plaque characteristics. Am. J. Cardiol., 2008. 101(4): p. 471-476.
18. Raffel, O.C., et al., In vivo association between positive coronary artery remodelling and coronary plaque characteristics assessed by intravascular optical coherence tomography. Eur Heart J, 2008. 29(14): p. 1721-1728.
19. Barlis, P., et al., Assessment of Culprit and Remote Coronary Narrowings Using Optical Coherence Tomography With Long-Term Outcomes. Am. J. Cardiol., 2008. 102(4): p. 391-395.
20. Kubo, T., et al., Comparison of Vascular Response After Sirolimus-Eluting Stent Implantation Between Patients With Unstable and Stable Angina Pectoris: A Serial Optical Coherence Tomography Study. J Am Coli Cardiol Img, 2008. 1(4): p. 475-484.
21. Virmani, R., et al., Pathology of the vulnerable plaque. J. Am. Coli. Cardiol., 2006. 47(8): p. C13-C18.
22. Kubo, T., et al., Assessment of culprit lesion morphology in acute myocardial infarction - Ability of optical coherence tomography compared with intravascular ultrasound and coronary angioscopy. J. Am. Coli. Cardiol., 2007. 50(10): p. 933-939.
23. Yabushita, H., et al., Characterization of human atherosclerosis by optical coherence tomography. Circulation, 2002. 106(13): p. 1640-1645.
24. van der Meer, F.J., et al., Temperature-dependent optical properties of individual vascular wall components measured by optical coherence tomography. J. Biomed. Opt., 2006. 11(4): p. 041120.
25. van der Meer, F.J., et al., Localized measurement of optical attenuation coefficients of atherosclerotic plaque constituents by quantitative optical coherence tomography. IEEE Trans. Med. Imaging, 2005. 24(10): p. 1369-1376.
26. Levitz, D., et al., Determination of optical scattering properties of highly-scattering media in optical coherence tomography images. Opt. Express, 2004. 12(2): p. 249-259.
27. Xu, C., et al., Characterization of atherosclerosis plaques by measuring both backscattering and attenuation coefficients in optical coherence tomography. J. Biomed. Opt., 2008. 13(3): p. 034003.
28. van Leeuwen, T.G., DJ. Faber, and M.C. Aalders, Measurement of the axial point spread function in scattering media using single-mode fiber-based optical coherence tomography. IEEE J. Sel. Top. Quant. Electr., 2003. 9(2): p. 227-233.
29. Schmitt, J.M., S.H. Xiang, and K.M. Yung, Speckle in optical coherence tomography. J. Biomed. Opt., 1999. 4(1): p. 95-105.
30. Rogowska, J. and M.E. Brezinski, Evaluation of the adaptive speckle suppression filter for coronary optical coherence tomography imaging. IEEE Trans. Med. Imaging, 2000. 19(12): p. 1261-1266.
31. van Soest, G., J.G. Bosch, and A.F.W. van der Steen, Azimuthai Registration of Image Sequences Affected by Nonuniform Rotation Distortion. IEEE Trans. Inf. Techn. Biomed., 2008. 12(3): p. 348-355.
32. van Soest, G., J.G. Bosch, and A.F.W. van der Steen. Alignment of intravascular optical coherence tomography movies affected by non-uniform rotation distortion. Proc. SPIE, 2008. 6847: p. 21-28.
33. Schmitt, J.M., Optical coherence tomography (OCT): A review. IEEE J. Sei. Top. Quant. Electr., 1999. 5(4): p. 1205-1215.
34. Faber, D. J., et al., Quantitative measurement of attenuation coefficients of weakly scattering media using optical coherence tomography. Opt. Express, 2004. 12(19): p. 4353-4365.
35. Thrane, L., H.T. Yura, and P.E. Andersen, Analysis of optical coherence tomography systems based on the extended Huygens-Fr e snel principle. J. Opt. Soc. Am. A, 2000. 17(3): p. 484-490.
36. Andersen, P.E., et al., Advanced modelling of optical coherence tomography systems. Phys. Med. Biol., 2004. 49(7): p. 1307-1327.