Carotid Artery Boundary Extraction Using Segmentation Techniques: A Comparative Study

Autor:	Wahida Banu R.S.D., K B Zayanthi
Rok vydání:	2009
Předmět:	Computer science business.industry Ultrasound Fuzzy set Wavelet transform Boundary (topology) Pattern recognition Image segmentation Wavelet Medical imaging Computer vision Segmentation Artificial intelligence business
Zdroj:	ITNG
DOI:	10.1109/itng.2009.103
Popis:	Different methods for boundary extraction of carotid artery have been proposed in recent years and different research groups have reported contradictory results. The goal of this paper is to present an independent comparative analysis of different boundary extraction techniques (Canny, wavelet with watershed and wavelet with fuzzy C). The techniques are tested with B-mode Ultrasound (US) images of the carotid artery. The boundary of carotid artery is extracted from the segmented images. The diameter of the artery is calculated. This is a step towards analysis of cardiac disease. Reduction in diameter is related to the plaque formation and other deposits in the artery wall. Experimental results prove that fuzzy C means along with wavelets is better than other two methods as boundary obtained best fits the vessel wall.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::aa8aa9a2661ff5227c648178178585ea https://doi.org/10.1109/itng.2009.103 Zobrazit plný text záznamu