Paper
24 April 2002 Assessment of carotid diameter and wall thickness in ultrasound images using active contours improved by a multiresolution technique
Marco Antonio Gutierrez, Paulo Eduardo Pilon, Silvia G. Lage, Liliane Kopel, Ricardo T. Carvalho, Sergio Shiguemi Furuie
Author Affiliations +
Abstract
Carotid vessel ultrasound imaging is a reliable non-invasive technique to measure the arterial morphology. Vessel diameter, intima-media thickness (IMT) of the far wall and plaque presence can be reliably determined using B-mode ultrasound. In this paper we describe a semi-automatic approach to measure artery diameter and IMT based on an active contour technique improved by a multiresolution analysis. The operator selects a region-of-interest (ROI) in a series of carotid images obtained from B-mode ultrasound. This set of images is convolved with the corresponding partial derivatives of the Gaussian filter. The filter response is used to compute a 2D gradient magnitude image in order to refine the vessel's boundaries. Using an active contour technique the vessel's border is determined automatically. The near wall media-adventitia (NWMA), far wall media-adventitia (FWMA) and far wall lumen-intima (FWLI) borders are obtained by a least-square fitting of the active contours result. The distance between NWMA and FWLI (vessel diameter) and between FWLI and FWMA (far wall intima-media thickness) are obtained for all images and the mean value is computed during systole and diastole. The proposed method is a reliable and reproducible way of assessing the vessel diameter and far wall intima-media thickness of the carotid artery.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marco Antonio Gutierrez, Paulo Eduardo Pilon, Silvia G. Lage, Liliane Kopel, Ricardo T. Carvalho, and Sergio Shiguemi Furuie "Assessment of carotid diameter and wall thickness in ultrasound images using active contours improved by a multiresolution technique", Proc. SPIE 4683, Medical Imaging 2002: Physiology and Function from Multidimensional Images, (24 April 2002); https://doi.org/10.1117/12.463589
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CITATIONS
Cited by 8 scholarly publications and 8 patents.
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KEYWORDS
Ultrasonography

Arteries

Tissues

Convolution

Gaussian filters

Image filtering

Image quality

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