Fractal dimension based carotid plaque characterization from three-dimensional ultrasound images.

Abstract

Irregularity of the plaque surface associated with previous plaque rupture plays an important role in the risk estimation of stroke caused by carotid atherosclerotic lesions. Thus, the aim of this study is to develop and validate novel vulnerability biomarkers from three-dimensional ultrasound (3DUS) images by analyzing the surface morphological characteristics of carotid plaque using fractal geometry features. In the experiments, a total of 38 3DUS plaque images were obtained from two groups of patients treated with 80 mg of atorvastatin or placebo daily for 3 months respectively. Two types of 3D fractal dimensions (FDs) were used to describe the smoothness of plaque surface morphology and the roughness from intensity of 3DUS images. Student's t test showed that the two fractal features were effective for detecting the statin-related changes in carotid atherosclerosis with p < 0.00023 and p < 0.0113 respectively. It was concluded that the 3D FD measurements were effective for analyzing carotid plaque characteristics and especially effective for evaluating the impact of atorvastatin treatment. Graphical abstract ᅟ.

• Authors: Ran Zhou, Yongkang Luo, Aaron Fenster, John David Spence, Mingyue Ding
• Journal: Medical & biological engineering & computing (Med Biol Eng Comput) Vol. 57 Issue 1 Pg. 135-146 (Jan 2019) ISSN: 1741-0444 [Electronic] United States
• PMID: 30046955 (Publication Type: Journal Article)

Topics

• Aged
• Area Under Curve
• Carotid Arteries (diagnostic imaging, pathology)
• Fractals
• Humans
• Imaging, Three-Dimensional
• Linear Models
• Plaque, Atherosclerotic (diagnostic imaging, pathology)
• ROC Curve
• Support Vector Machine
• Ultrasonography