Segmentation of intima media complex from carotid ultrasound images using wind driven optimization technique

2018 ◽  
Vol 40 ◽  
pp. 462-472 ◽  
Author(s):  
Y. Nagaraj ◽  
Pardhu Madipalli ◽  
Jeny Rajan ◽  
P. Krishna Kumar ◽  
A.V. Narasimhadhan
Keyword(s):  
Optimization Technique ◽  
Ultrasound Images ◽  
Carotid Ultrasound

Fully Automatic Measurement of Intima-Media Thickness in Ultrasound Images of the Common Carotid Artery Based on Improved Otsu’s Method and Adaptive Wind Driven Optimization

2020 ◽  
Vol 42 (6) ◽  
pp. 245-260
Author(s):  
Kun Wang ◽  
Yuanyuan Pu ◽  
Yufeng Zhang ◽  
Pei Wang
Keyword(s):  
Carotid Artery ◽  
Common Carotid Artery ◽  
Optimization Technique ◽  
Intima Media Thickness ◽  
Ultrasound Images ◽  
Carotid Ultrasound ◽  
Media Thickness ◽  
Otsu’S Method ◽  
Fully Automatic ◽  
The Common

The intima media thickness (IMT) of the common carotid artery (CCA) can be used to predict the risk of atherosclerosis. Many image segmentation techniques have been used for IMT measurement. However, severe noise in the ultrasound image can lead to erroneous segmentation results. To improve the robustness to noise, a fully automatic method, based on an improved Otsu’s method and an adaptive wind-driven optimization technique, is proposed for estimating the IMT (denoted as “improved Otsu-AWDO”). First, an advanced despeckling filter, i.e., “ Nagare’s filter” is used to address the speckle noise in the carotid ultrasound images. Next, an improved fuzzy contrast method (IFC) is used to enhance the region of the intima media complex (IMC) in the blurred filtered images. Then, a new method is used for automatic extraction of the region of interest (ROI). Finally, the lumen intima interface and media adventitia interface are segmented from the IMC using improved Otsu-AWDO. Then, 156 B-mode longitudinal carotid ultrasound images of six different datasets are used to evaluate the performance of the automatic measurements. The results indicate that the absolute error of proposed method is only 10.1 ± 9.6 (mean ± std in μm). Moreover, the proposed method has a correlation coefficient as high as 0.9922, and a bias as low as 0.0007. From comparison with previous methods, we can conclude that the proposed method has strong robustness and can provide accurate IMT estimations.

scholarly journals Should clinicians be given hard copies of duplex carotid ultrasound images?

1991 ◽  
Vol 54 (10) ◽  
pp. 936-937
Author(s):  
S Gunatilake ◽  
P Sandercock ◽  
J Slattery
Keyword(s):  
Ultrasound Images ◽  
Carotid Ultrasound

Early-stage atherosclerosis detection using deep learning over carotid ultrasound images

2016 ◽  
Vol 49 ◽  
pp. 616-628 ◽  
Author(s):  
Rosa-María Menchón-Lara ◽  
José-Luis Sancho-Gómez ◽  
Andrés Bueno-Crespo
Keyword(s):  
Deep Learning ◽  
Early Stage ◽  
Ultrasound Images ◽  
Carotid Ultrasound
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