KEYWORDS: Image segmentation, 3D image processing, Simulation of CCA and DLA aggregates, Arteries, 3D modeling, Laser induced breakdown spectroscopy, Ultrasonography, Image processing algorithms and systems, 3D displays, Data acquisition
Carotid atherosclerosis is a major cause of stroke, a leading cause of death and disability. In this paper, we
develop and evaluate a new segmentation method for outlining both lumen and adventitia (inner and outer walls)
of common carotid artery (CCA) from three-dimensional ultrasound (3D US) images for carotid atherosclerosis
diagnosis and evaluation. The data set consists of sixty-eight, 17× 2× 2, 3D US volume data acquired from the
left and right carotid arteries of seventeen patients (eight treated with 80mg atorvastain and nine with placebo),
who had carotid stenosis of 60% or more, at baseline and after three months of treatment. We investigate the
use of Active Shape Models (ASMs) to segment CCA inner and outer walls after statin therapy. The proposed
method was evaluated with respect to expert manually outlined boundaries as a surrogate for ground truth. For
the lumen and adventitia segmentations, respectively, the algorithm yielded Dice Similarity Coefficient (DSC) of
93.6%± 2.6%, 91.8%± 3.5%, mean absolute distances (MAD) of 0.28± 0.17mm and 0.34 ± 0.19mm, maximum
absolute distances (MAXD) of 0.87 ± 0.37mm and 0.74 ± 0.49mm. The proposed algorithm took 4.4 ± 0.6min
to segment a single 3D US images, compared to 11.7±1.2min for manual segmentation. Therefore, the method
would promote the translation of carotid 3D US to clinical care for the fast, safety and economical monitoring
of the atherosclerotic disease progression and regression during therapy.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.