A Novel Method For Carotid Artry Recognition Using Ultrasound B-Mode Scans

A Novel Method For Carotid Artry Recognition Using Ultrasound B-Mode Scans

Swarna.G.Krishnan, Senthil Kumar

Swarna.G.Krishnan, Senthil Kumar "A Novel Method For Carotid Artry Recognition Using Ultrasound B-Mode Scans" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-2 | Issue-3 , June 2015, URL: http://www.ijtrd.com/papers/IJTRD82.pdf

The aim of this paper is to describe a novel and completely automated technique for carotid artery (CA) recognition, far (distal) wall segmentation, and intima-media thickness (IMT) measurement, which is a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of completely automated multiresolution edge snapper (CAMES) consists of the following two stages: 1) automated CA recognition based on a combination of scale-space and statistical classification in a multiresolution framework and 2) automated segmentation of lumen-intima (LI) and media-adventitia (MA) interfaces for the far (distal) wall and IMT measurement. Our database of 365 B-mode longitudinal carotid images is taken from four different institutions covering different ethnic backgrounds. The ground-truth (GT) database was the average manual segmentation from three clinical experts. The mean distance ± standard deviation of CAMES with respect to GT profiles for LI and MA interfaces were 0.081 ± 0.099 and 0.082 ± 0.197 mm, respectively. The combination of multiresolution CA recognition and far-wall segmentation led to an automated, low-complexity, real-time, and accurate technique for carotid IMT measurement. Validation on a multiethnic/multi-institutional data set demonstrated the robustness of the technique, which can constitute a clinically valid IMT measurement for assi- tance in atherosclerosis disease management.

Atherosclerosis; Edge Detection; First-Order Absolute Moment; First-Order Gaussian Derivative; Intima–Media Thickness (IMT); Segmentation; Ultrasound Imaging.

Volume-2 | Issue-3 , June 2015


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