slugAutomatic Segmentation of Intima-Media Complex

Abstract

The intima media thickness (IMT) is considered as an important marker for the evaluation of the risk in the development of atherosclerosis. The evaluation of the IMT is carried out on B - mode ultrasound (US) images of the common carotid artery (CCA). The segmentation of the intima - media complex (IMC) is the key to evaluate the IMT. This projec t presents a fully automated segmentation algorithm, which is based on active contours and active contours without edges. The method incorporates anatomical information to achieve accurate segmentation. The level set formulation by Chan and Vese using rand om initialization segments the CCA US images into different distinct regions, one of which corresponds to the carotid wall region below the lumen and other to the far wall IMC [12] . The segmented regions are further processed by image normalization to remove image variability due to capture time, scanner and settings, which is followed by speckle removal. The lumen-intima boundary then provides an excellent initialization for the active contours using snakes that provide the final IMC segmentation. Using snake the IMC is segmented and mean absolute thickness is measured. It is found that CCA with normal condition has IMT in the range of 0.4mm to 1.5mm. The CCA having thickness beyond the specified range can be considered for thorough diagnosis,

Authors and Affiliations

Ankita Mohapatra, Reshmi Mariam Reji Jacob, Alex J Timothy

Keywords

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  • EP ID EP17957
  • DOI -
  • Views 374
  • Downloads 11

How To Cite

Ankita Mohapatra, Reshmi Mariam Reji Jacob, Alex J Timothy (2014). slugAutomatic Segmentation of Intima-Media Complex. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(4), -. https://europub.co.uk/articles/-A-17957