Automatic Algorithm for Segmentation of Atherosclerotic Carotid Plaque.
BACKGROUND
Carotid atherosclerosis is one of the major causes of stroke. The determination of the intima-media thickness, the identification of carotid atherosclerotic plaque, and the classification of the different stenoses are considered as important parameters for the assessment of atherosclerotic diseases. The aim of this work is to segment the plaques and to allow a better comprehension of carotid atherosclerosis.


METHODS
We considered 44 subjects, 22 with and 22 without the presence of plaques in the carotid axis, and we applied the snake algorithm.


RESULTS
The resulting interclass correlation coefficients (ICCs) were significant for all 3 parameters (mean echogenicity: ICC1= .78 [95%CI: .55-0.90]; perimeter: ICC2= .81 [95%CI: .61-0.92]; area: ICC3= .89 [95%CI: .75-0.95]). The diagnostic accuracy was 82%, with an appropriate cutoff value of 224.5, sensitivity of 79%, and specificity of 85%.


CONCLUSIONS
In this study, we developed an automatic method to identify the carotid plaque. Our results showed that an automatic system of image segmentation could be used to identify, characterize, and measure atherosclerotic carotid plaques.
IRCCS Centro Neurolesi "Bonino-Pulejo," Messina, Italy. Electronic address: lillabonanno@gmail.com.
Lilla
L
Bonanno
Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Fabrizio
F
Sottile
IRCCS Centro Neurolesi "Bonino-Pulejo," Messina, Italy.
Rosella
R
Ciurleo
IRCCS Centro Neurolesi "Bonino-Pulejo," Messina, Italy.
Giuseppe
G
Di Lorenzo
Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
Daniele
D
Bruschetta
IRCCS Centro Neurolesi "Bonino-Pulejo," Messina, Italy.
Alessia
A
Bramanti
Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
Giorgio
G
Ascenti
IRCCS Centro Neurolesi "Bonino-Pulejo," Messina, Italy.
Placido
P
Bramanti
IRCCS Centro Neurolesi "Bonino-Pulejo," Messina, Italy; Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy.
Silvia
S
Marino
D000465:Algorithms; D002340:Carotid Artery Diseases / Q000150:complications / Q000000981:diagnostic imaging*; D016893:Carotid Stenosis / Q000150:complications / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D058226:Plaque, Atherosclerotic / Q000150:complications / Q000000981:diagnostic imaging*; D012680:Sensitivity and Specificity; D018615:Ultrasonography, Doppler, Color / Q000379:methods
Automatic segmentation; carotid atherosclerosis; snake algorithm; ultrasound image