Using reconstructed IVUS images for coronary plaque classification

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 2167-2170

  Caballero, Karla L ^a   Barajas, Joel ^a   Pujol, Oriol ^b   Rodriguez, Oriol ^c   Radeva, Petia ^b  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b UNIVERSITY OF BARCELONA   (Spain)

^c HOSPITAL UNIVERSITARI GERMANS TRIAS I PUJOL   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; MEDICAL PROBLEMS; PATIENT TREATMENT; TISSUE;

CORONARY PLAQUE RUPTURE; RAW RADIO FREQUENCY (RF) DATA;

IMAGE ANALYSIS;

ARTICLE; ATHEROSCLEROSIS; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY DISEASE; CORONARY BLOOD VESSEL; ECHOGRAPHY; ENDOSCOPIC ECHOGRAPHY; EQUIPMENT; HEART; HUMAN; IMAGE PROCESSING; METHODOLOGY; NORMAL DISTRIBUTION; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; ULTRASOUND;

ATHEROSCLEROSIS; AUTOMATION; CORONARY ARTERY DISEASE; CORONARY VESSELS; HEART; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS; ULTRASONICS; ULTRASONOGRAPHY; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 57649155034     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4352752     Document Type: Conference Paper

References (11)

1. Allwein, E. L., Schapire, R. E., and Singer, Y. (2000). Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research, 1:113-141.
2. Burke, A. P., Farb, A., hui Liang, G. T. M. Y., Smialek, J., and Virmani, R. (1997). Coronary risk factors and plaque morphology in men with coronary disease who died suddenly. The New England Journal of Medicine, 336(18):1276-1281.
3. Daugman, J. (1985). Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America, 2(A):1160-1169.
4. Gonzales, R. and Woods, R. (1992). Image Processing. Adison - Wesley.
5. Husoy, T. R. J. H. (1999). Filtering for texture classification: A comparative study. IEEE Transactions on Pattern Analysis and Machine Intelligence, 4:291-310.
6. Ojala, T. and Maenpaa, M. P. T. (2002). Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:971-987.
7. P. Ohanian, R. D. (1992). Performance evaluation for four classes of textural features. Pattern Recognition, 25:819-833.
8. Pujol, O. (2004). A semi-supervised Statistical Framework and Generative Snakes for IVUS Analysis. Graficas Rey.
9. Pujol, O., Rosales, M., and Radeva, P. (2003). Intravascular ultrasound images vessel characterization using adaboost. In Functional Imaging and Modelling of the Heart: Lecture Notes in Computer Science, pages 242-251.
10. Schapire, R. (2001). The boosting approach to machine learning: An overview.
11. Zhang, X., McKay, C. R., and Sonka, M. (1998). Tissue characterization in intravascular ultrasound images. IEEE transactions on Medicine, 17(A):889-898.