DocumentCode :
3354113
Title :
Detection of the intima and media walls of the carotid artery with geodesic active contours
Author :
Bastida-Jumilla, M.C. ; Morales-Sánchez, J. ; Verdú-Monedero, R. ; Larrey-Ruiz, J. ; Sancho-Gómez, J.L.
Author_Institution :
Dipt. Tecnol. de la Informacion y las Comun., Univ. Politec. de Cartagena, Murcia, Spain
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
2213
Lastpage :
2216
Abstract :
Arteriosclerosis is one of the most extended diseases of the arterial walls which may lead to serious heart disease. The intima-medial thickness (IMT) of the carotid artery has emerged as an early and reliable indicator of arteriosclerosis. It is measured using ultrasound B-scan. The IMT is still measured visually by the doctor. To solve all the problems related to the manual procedure employed, a segmentation of the image is presented. Thanks to this segmentation, the intima and media walls are better defined along all its length, allowing the extraction of more measurements like the mean, maximum or minimum IMT and even studying its evolution through time. To achieve this segmentation, different image processing techniques have been used, such as anisotropic diffusion or geodesic active contours. With the process here presented, the IMT calculated is comparable with that extracted by the specialist, but avoiding the drawbacks of a visual procedure.
Keywords :
blood vessels; cardiology; differential geometry; diseases; image segmentation; medical image processing; ultrasonic applications; IMT; anisotropic diffusion; arterial walls; arteriosclerosis; carotid artery; geodesic active contours; heart disease; image processing techniques; image segmentation; intima-medial thickness detection; media wall detection; ultrasound B-scan; Active contours; Anisotropic magnetoresistance; Arteries; Biomedical imaging; Image edge detection; Image segmentation; Ultrasonic imaging; Segmentation; active contours; carotid artery; intima-media thickness; ultrasound image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5652719
Filename :
5652719
Link To Document :
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