Segmentation of common carotid artery with active appearance models from ultrasound images

Xin Yang; Wanji He; Aaron Fenster; Ming Yuchi; Mingyue Ding

doi:10.1117/12.2006232

28 February 2013 Segmentation of common carotid artery with active appearance models from ultrasound images

Xin Yang, Wanji He, Aaron Fenster, Ming Yuchi, Mingyue Ding

Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86703H (2013) https://doi.org/10.1117/12.2006232
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Carotid atherosclerosis is a major cause of stroke, a leading cause of death and disability. In this paper, a new segmentation method is proposed and evaluated for outlining the common carotid artery (CCA) from transverse view images, which were sliced from three-dimensional ultrasound (3D US) of 1mm inter-slice distance (ISD), to support the monitoring and assessment of carotid atherosclerosis. The data set consists of forty-eight 3D US images acquired from both left and right carotid arteries of twelve patients in two time points who had carotid stenosis of 60% or more at the baseline. The 3D US data were collected at baseline and three-month follow-up, where seven treated with 80mg atorvastatin and five with placebo. The baseline manual boundaries were used for Active Appearance Models (AAM) training; while the treatment data for segmentation testing and evaluation. The segmentation results were compared with experts manually outlined boundaries, as a surrogate for ground truth, for further evaluation. For the adventitia and lumen segmentations, the algorithm yielded Dice Coefficients (DC) of 92.06%±2.73% and 89.67%±3.66%, mean absolute distances (MAD) of 0.28±0.18 mm and 0.22±0.16 mm, maximum absolute distances (MAXD) of 0.71±0.28 mm and 0.59±0.21 mm, respectively. The segmentation results were also evaluated via Pratt’s figure of merit (FOM) with the value of 0.61±0.06 and 0.66±0.05, which provides a quantitative measure for judging the similarity. Experimental results indicate that the proposed method can promote the carotid 3D US usage for a fast, safe and economical monitoring of the atherosclerotic disease progression and regression during therapy.

Citation Download Citation

Xin Yang, Wanji He, Aaron Fenster, Ming Yuchi, and Mingyue Ding "Segmentation of common carotid artery with active appearance models from ultrasound images", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86703H (28 February 2013); https://doi.org/10.1117/12.2006232

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KEYWORDS

Image segmentation

3D image processing

Ultrasonography

Arteries

3D modeling

Simulation of CCA and DLA aggregates

Medical imaging

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