Fusing in-vitro and in-vivo intravascular ultrasound data for plaque characterization

International Journal of Cardiovascular Imaging

Volumn 26, Issue 7, 2010, Pages 763-779

  Ciompi, Francesco ^a,b   Pujol, Oriol ^a,b   Gatta, Carlo ^b   Rodríguez Leor, Oriol ^c   Mauri Ferré, Josepa ^c   Radeva, Petia ^a,b  

^a UNIVERSITY OF BARCELONA   (Spain)

^b Barcelona Perception Computing Lab   (Spain)

^c HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

Intravascular ultrasound; Plaque characterization; Radio frequency analysis; Sequential floating forward selection

Indexed keywords

ARTICLE; ATHEROSCLEROTIC PLAQUE; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IN VITRO STUDY; IN VIVO STUDY; INTERMETHOD COMPARISON; INTRAVASCULAR ULTRASOUND; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; RADIOFREQUENCY; RELIABILITY; SIGNAL PROCESSING; TISSUE CHARACTERIZATION; VALIDATION PROCESS;

ALGORITHMS; AUTOMATION, LABORATORY; AUTOPSY; CALCINOSIS; CORONARY ARTERY DISEASE; FIBROSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIPIDS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RUPTURE, SPONTANEOUS; SPAIN; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 78049336594     PISSN: 15695794     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10554-009-9543-1     Document Type: Article

References (37)

1. PK Shah 2003 Mechanism of plaque vulnerability and rupture JACC 41 1 15 22
2. AP Burke A Farb GT Malcom Y Liang J Smialek R Virmani 1997 Coronary risk factors and plaque morphology in men with coronary disease who died suddenly New Engl J Med 336 18 1276 1281 1:STN:280:DyaK2s3lvVKrtA%3D%3D 10.1056/ NEJM199705013361802 9113930 (Pubitemid 27187780)
3. V Fuster PR Moreno ZA Fayad R Corti JJ Badimon 2005 Atherothrombosis and high-risk plaque JACC 46 6 937 954 16168274
4. S Ehara Y Kobayashi M Yoshiyama K Shimada Y Shimada D Fukuda Y Nakamura H Yamashita H Yamagishi K Takeuchi T Naruko K Haze AE Becker J Yoshikawa M Ueda 2004 Spotty calcification typifies the culprit plaque in patients with acute myocardial infarction: an intravascular ultrasound study Circulation 110 3424 3429 10.1161/01.CIR.0000148131.41425.E9 15557374 (Pubitemid 39602220)
5. JT Willerson HJJ Wellens JN Cohn DR Holmes 2007 Atherosclerotic vulnerable plaques: pathophysiology, detection, and treatment Cardiovas Med, Third Ed 10 621 639
6. MJ Davies AC Thomas 1995 Plaque fissuring-the cause of acute myocardial infarction, sudden ischaemic death, and crescendo angina Br Heart J 53 4 363 373 10.1136/hrt.53.4.363
7. X Zhang CR McKay M Sonka 1998 Tissue characterization in intravascular ultrasound images. TMI 17 6 889 899 1:STN:280:DyaK1M7ls1KgsQ%3D%3D
8. Caballero KL, Barajas J, Pujol O, Salvatella N, Radeva P (2006) In-vivo ivus tissue classification: a comparison between rf signal analysis and reconstructed image. Prog Pattern Recognit Image Anal Appl 4225/2006:137-146
9. Caballero KL, Barajas J, Pujol O, Rodriguez O, Radeva P (2007) Using reconstructed ivus images for coronary plaque classification. In: Proceedings of the 29th annual international conference of the IEEE EMBS
10. M Moore T Spencer D Salter P Kearney T Shaw I Starkey P Fitzgerald R Erbel A Lange N McDicken G Sutherland K Fox 1998 Characterisation of coronary atherosclerotic morphology by spectral analysis of radiofrequency signal: in vitro intravascular ultrasound study with histological and radiological validation Heart 79 5 459 467 1:STN:280:DyaK1czitlehug%3D%3D 9659192
11. A Nair BD Kuban EM Tuzcu P Schoenhagen SE Nissen DG Vince 2002 Coronary plaque classification with intravascular ultrasound radiofrequency data analysis Circulation 106 2200 2206 10.1161/01.CIR.0000035654.18341.5E 12390948 (Pubitemid 35222213)
12. A Nair BD Kuban N Obuchowski GD Vince 2001 Assessing spectral algorithms to predict atherosclerotic plaque composition with normalized and raw intravascular ultrasound data UMB 27 10 1319 1331 1:STN:280: DC%2BD3MnosFKruw%3D%3D (Pubitemid 34048345)
13. A Katouzian S Sathyanarayana B Baseri EE Konofagou SG Carlier 2008 Challenges in atherosclerotic plaque characterization with intravascular ultrasound (ivus): from data collection to classification TITB 12 3 315 327
14. Bedekar D (2003) Atherosclerotic plaque characterization by acoustic impedance analysis of intravascular ultrasound data. In: IEEE ultrasonic symposium, vol 1527
15. S Sathyaranayana S Carlier L Wenguang L Thomas 2009 Characterization of atherosclerotic plaque by spectral similarity of radiofrequency intravascular ultrasound signals EuroIntervention 5 133 139 10.4244/EIJV5I1A21
16. M Kawasaki H Takatsu T Noda Y Ito A Kunishima M Arai K Nishigaki G Takemura N Morita S Minatoguchi H Fujiwara 2001 Noninvasive quantitative tissue characterization and two-dimensional color-coded map of human atherosclerotic lesions using ultrasound integrated backscatter JACC 38 2 486 492 1:STN:280:DC%2BD3MvlsVCmsw%3D%3D 11499742
17. 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 2002 Invivo quantitative tissue characterization of human coronary arterial plaques by use of integrated backscatter intravascular ultrasound and comparison with angioscopic findings Circulation 105 2487 2492 10.1161/01.CIR.0000017200.47342. 10 12034654 (Pubitemid 34568969)
18. Kawasaki M, Sano K, Okubo M, Yokoyama H, Ito Y, Murata I, Tsuchiya K, Minatoguchi S, Zhou X, Fujita H, Fujiwara H (2005) Volumetric quantitative analysis of tissue characteristics of coronary plaques after statin therapy using three-dimensional integrated backscatter intravascular ultrasound. JACC 45(12):1946-1953
19. CD Korte AD Steen E Cespedes G Pasterkamp SG Carlier F Mastik AH Schoneveld PW Serruys N Bom 2000 Characterization of plaque components and vulnerability with intravascular ultrasound elastography Circulation 102 617 623 10931800
20. CD Korte MJ Sierevogel F Mastik C Strijder JA Schaar E Velema G Pasterkamp PW Serruys AVD Steen 2002 Identification of atherosclerotic plaque components with intravascular ultrasound elastography in vivo: a yucatan pig study Circulation 105 14 1627 1630 10.1161/01.CIR.0000014988.66572.2E 11940537 (Pubitemid 34298602)
21. JA Schaar E Regar F Mastik EP McFadden F Saia C Disco CL deKorte PJ Feyter AV der Steen PW Serruys 2004 Characterizing vulnerable plaque features with intravascular elastography Circulation 109 2716 2719 10.1161/01.CIR. 0000131887.65955.3B 15159286 (Pubitemid 38737916)
22. A Murashige T Hiro T Fujii K Imoto T Murata Y Fukumoto M Matsuzaki 2005 Detection of lipid-laden atherosclerotic plaque by wavelet analysis of radiofrequency intravascular ultrasound signals: in vitro validation and preliminary in vivo application JACC 45 12 1954 1960 15963392
23. Pudil P, Ferri FJ, Novovicova J, Kittler J (1994) Floating search methods for feature selection with nonmonotonic criterion functions. In: Proceedings of the 12th IAPR international conference on pattern recognition, vol 2, pp 279-283
24. Ciompi F (2008) Ecoc-based plaque classification using in-vivo and ex-vivo intravascular ultrasound data. Master thesis
25. TG Dietterich G Bakiri 1995 Solving multiclass learning problems via error-correcting output codes J Artif Intell Res 2 263 286
26. Allwein EL, Schapire RE, Singer Y (2000) Reducing multiclass to binary: a unifying approach for margin classifiers. In: Proceedings of the seventeenth international conference on machine learning, pp 9-16
27. Schapire R (2001) The boosting approach to machine learning: an overview. MSRI workshop on nonlinear estimation and classification
28. Gonzalez RC, Woods RE (2001) Digital image processing, 2nd edn. Prentice Hall, Upper Saddle River
29. AC Bovik M Clark WS Geisler 1990 Multichannel texture analysis using localized spatial filters TPAMI 12 1 55 73
30. T Ojala M Pietikäien T Mäenpää 2002 Multiresolution gray-scale and rotation invariant texture classification with local binary patterns TPAMI 24 7 971 987
31. O Pujol J Vitria P Radeva 2006 Discriminant ecoc: a heuristic method for application dependent design of error correcting output codes TPAMI 28 6 1007 1012
32. S Escalera O Pujol J Mauri P Radeva 2008 Ivus tissue characterization with sub-class error-correcting output codes J Signal Process Syst 55 35 47 10.1007/s11265-008-0180-z
33. R Rifkin A Klautau 2004 In defense of one-vs-all classification J Mach Learn Res 5 101 141
34. Djouadi A, Snorrason O, Garber FD (1990) The quality of training sample estimates of the bhattacharyya coefficient. PAMI 12(1):92-97. doi: 10.1109/34.41388 (Pubitemid 20653603)
35. Borg I, Groenen P (2005) Modern multidimensional scaling: theory and applications, 2nd edn. Springer, New York
36. Chapelle O, Zien A (2004) Semi-supervised classification by low density separation. In: Proceeding of the tenth internationl workshop on artificial intelligence and statistics, pp 57-64
37. Wang J, Shen Z, Pan W (2007) On transductive support vector machines. Predict Discov