Automatic segmentation and tracking of intima media thickness in the diagnosis of common carotid artery diseases

S. Rathika; Mr. S. Karthik

CALL FOR PAPERS : Feb-2026

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25-Feb-26

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Automatic segmentation and tracking of intima media thickness in the diagnosis of common carotid artery diseases

Author(s):

S. Rathika , Sri Manakula Vinayakar Engineering College; Mr. S. Karthik, Sri Manakula Vinayakar Engineering College

Keywords:

Intima Media Thickness (IMT), Cardiovasular disease, Adaptive Normalized Correlation (ANC)

Abstract:

The identification and measurement of the Intima Media Thickness (IMT) have a high clinical relevance in accordance with cardiovascular disease. Fully automatic algorithm is developed for the analysis of arterial wall thickening and for automatic measurement, tracking and segmentation of the Intima Media Complex (IMC) in B-mode ultrasound video sequences. The Adaptive Normalized Correlation (ANC) algorithm requires a two-stage image analysis process that initially labels the segmentation of the IMC in the first frame of the ultrasound video sequence using a model-based approach.