Atherosclerotic carotid wall segmentation in ultrasound images using Markov random fields

S. Petroudi, C. P. Loizou, C. S. Pattichis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This work explores the segmentation of the intima-media complex (IMC) of the common carotid artery (CCA) wall for the evaluation of the intima media thickness (IMT) on B-mode ultrasound images. The IMT provides important clinical information for the evaluation of the risk of developing atherosclerosis. The algorithm begins with speckle removal, which is followed by the use of a Hough transform for boundary detection and image normalization. The corresponding results provide the initial statistical information needed for a Markov random field (MRF) segmentation. The method lends itself to the development of a fully automatic method for the delineation of the IMC. The mean and standard deviation of the automatically segmented results are 0.7855 and 0.1738mm and the corresponding value for the ground truth IMT are 0.7959 and 0.1875mm. The Wilcoxon rank sum test shows no significant differences. Future work will investigate the proposed method using a larger number of tissue classes and on more subjects.

Original languageEnglish
Title of host publicationITAB 2010 - 10th International Conference on Information Technology and Applications in Biomedicine
Subtitle of host publicationEmerging Technologies for Patient Specific Healthcare
DOIs
Publication statusPublished - 2010
Event10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010 - Corfu, Greece
Duration: 2 Nov 20105 Nov 2010

Other

Other10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010
CountryGreece
CityCorfu
Period2/11/105/11/10

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    Petroudi, S., Loizou, C. P., & Pattichis, C. S. (2010). Atherosclerotic carotid wall segmentation in ultrasound images using Markov random fields. In ITAB 2010 - 10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare [5687685] https://doi.org/10.1109/ITAB.2010.5687685