TY - GEN
T1 - Modified wavelet transform features for characterizing different plaque types in IVUS images; a feasibility study
AU - Roodaki, A.
AU - Taki, A.
AU - Setarehdan, S. K.
AU - Navab, N.
PY - 2008
Y1 - 2008
N2 - Atherosclerosis is a leading cause of most cardiovascular diseases. Current intravascular ultrasound (IVUS) image processing techniques do not allow adequate and effective identification of the coronary artery plaques. This can be improved by defining more discriminative features for each kind of artery plaques. In this paper, the effectiveness of a modified wavelet transform feature extraction method and the Gabor filter were studied for automated characterization of the atherosclerosis plaques within the IVUS images. The methods are applied on 100 IVUS images obtained from five different patients. Support vector machine was employed in the classification step. As a result an accuracy rate of about 80% was achieved for all methods.
AB - Atherosclerosis is a leading cause of most cardiovascular diseases. Current intravascular ultrasound (IVUS) image processing techniques do not allow adequate and effective identification of the coronary artery plaques. This can be improved by defining more discriminative features for each kind of artery plaques. In this paper, the effectiveness of a modified wavelet transform feature extraction method and the Gabor filter were studied for automated characterization of the atherosclerosis plaques within the IVUS images. The methods are applied on 100 IVUS images obtained from five different patients. Support vector machine was employed in the classification step. As a result an accuracy rate of about 80% was achieved for all methods.
UR - http://www.scopus.com/inward/record.url?scp=67249164059&partnerID=8YFLogxK
U2 - 10.1109/ICOSP.2008.4697248
DO - 10.1109/ICOSP.2008.4697248
M3 - Conference contribution
AN - SCOPUS:67249164059
SN - 9781424421794
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 789
EP - 792
BT - 2008 9th International Conference on Signal Processing, ICSP 2008
T2 - 2008 9th International Conference on Signal Processing, ICSP 2008
Y2 - 26 October 2008 through 29 October 2008
ER -
