Browsing by Author "Dadi, H."

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    Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization
    (2019) Madipalli, P.; Kotta, S.; Dadi, H.; Nagaraj, Y.; Asha, C.S.; Narasimhadhan, A.V.
    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. � 2018 IEEE.
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    Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization
    (Institute of Electrical and Electronics Engineers Inc., 2019) Madipalli, P.; Kotta, S.; Dadi, H.; Yamanakkanavar, Y.; Asha, C.S.; Narasimhadhan, A.V.
    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. © 2018 IEEE.