TY - GEN
T1 - Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization
AU - Madipalli, Pardhu
AU - Kotta, Sandeep
AU - Dadi, Harish
AU - Nagaraj, Y.
AU - Asha, C. S.
AU - Narasimhadhan, A. V.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/2
Y1 - 2019/1/2
N2 - Cardiovascular diseases have been one of the leading causes of death and have been increasing in much of the developing world. Atherosclerosis, the accumulation of plaque on artery walls is the major for cardiovascular diseases. This is diagnosed by measuring the thickness of IMC of common carotid artery (CCA) in ultrasound images. In this paper, we present a completely automatic technique for segmentation of IMC in ultrasound images of CCA. The image is segmented using adaptive wind driven optimization (AWDO) technique. The denoising filter based on Bayesian least square approach and a robust enhancement technique is used in the pre-processing stage. The proposed method is evaluated on 60 ultrasound images and is compared with the state-of-The-Art methods. The experimental results show that the proposed method yields better results as compared to other methods.
AB - Cardiovascular diseases have been one of the leading causes of death and have been increasing in much of the developing world. Atherosclerosis, the accumulation of plaque on artery walls is the major for cardiovascular diseases. This is diagnosed by measuring the thickness of IMC of common carotid artery (CCA) in ultrasound images. In this paper, we present a completely automatic technique for segmentation of IMC in ultrasound images of CCA. The image is segmented using adaptive wind driven optimization (AWDO) technique. The denoising filter based on Bayesian least square approach and a robust enhancement technique is used in the pre-processing stage. The proposed method is evaluated on 60 ultrasound images and is compared with the state-of-The-Art methods. The experimental results show that the proposed method yields better results as compared to other methods.
UR - http://www.scopus.com/inward/record.url?scp=85061639614&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061639614&partnerID=8YFLogxK
U2 - 10.1109/NCC.2018.8600240
DO - 10.1109/NCC.2018.8600240
M3 - Conference contribution
AN - SCOPUS:85061639614
T3 - 2018 24th National Conference on Communications, NCC 2018
BT - 2018 24th National Conference on Communications, NCC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 24th National Conference on Communications, NCC 2018
Y2 - 25 February 2018 through 28 February 2018
ER -
