Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization

Pardhu Madipalli; Sandeep Kotta; Harish Dadi; Y. Nagaraj; C. S. Asha; A. V. Narasimhadhan

doi:10.1109/NCC.2018.8600240

Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization

Pardhu Madipalli
, Sandeep Kotta
, Harish Dadi
, Y. Nagaraj
, C. S. Asha
, A. V. Narasimhadhan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2018 24th National Conference on Communications, NCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538612248
DOIs	https://doi.org/10.1109/NCC.2018.8600240
Publication status	Published - 02-01-2019
Event	2018 24th National Conference on Communications, NCC 2018 - Hyderabad, India Duration: 25-02-2018 → 28-02-2018

Publication series

Name	2018 24th National Conference on Communications, NCC 2018

Conference

Conference	2018 24th National Conference on Communications, NCC 2018
Country/Territory	India
City	Hyderabad
Period	25-02-18 → 28-02-18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/NCC.2018.8600240

Cite this

Madipalli, P., Kotta, S., Dadi, H., Nagaraj, Y., Asha, C. S., & Narasimhadhan, A. V. (2019). Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization. In 2018 24th National Conference on Communications, NCC 2018 Article 8600240 (2018 24th National Conference on Communications, NCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NCC.2018.8600240

@inproceedings{4911bea5e1df438c9f451c81af682270,

title = "Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization",

abstract = "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.",

author = "Pardhu Madipalli and Sandeep Kotta and Harish Dadi and Y. Nagaraj and Asha, \{C. S.\} and Narasimhadhan, \{A. V.\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 24th National Conference on Communications, NCC 2018 ; Conference date: 25-02-2018 Through 28-02-2018",

year = "2019",

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doi = "10.1109/NCC.2018.8600240",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Madipalli, P, Kotta, S, Dadi, H, Nagaraj, Y, Asha, CS & Narasimhadhan, AV 2019, Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization. in 2018 24th National Conference on Communications, NCC 2018., 8600240, 2018 24th National Conference on Communications, NCC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 24th National Conference on Communications, NCC 2018, Hyderabad, India, 25-02-18. https://doi.org/10.1109/NCC.2018.8600240

Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization. / Madipalli, Pardhu; Kotta, Sandeep; Dadi, Harish et al.
2018 24th National Conference on Communications, NCC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8600240 (2018 24th National Conference on Communications, NCC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

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.

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M3 - Conference contribution

AN - SCOPUS:85061639614

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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

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ER -

Madipalli P, Kotta S, Dadi H, Nagaraj Y, Asha CS, Narasimhadhan AV. Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization. In 2018 24th National Conference on Communications, NCC 2018. Institute of Electrical and Electronics Engineers Inc. 2019. 8600240. (2018 24th National Conference on Communications, NCC 2018). doi: 10.1109/NCC.2018.8600240

Automatic Segmentation of Intima Media Complex in Common Carotid Artery using Adaptive Wind Driven Optimization

Abstract

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UN SDGs

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