Preprint Article Version 1 NOT YET PEER-REVIEWED

Fractal Dimension Based Carotid Plaque Characterization from Three-Dimensional Ultrasound Images

  1. Medical Ultrasound Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
  2. Key Laboratory of Molecular Biophysics of Education Ministry of China, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
  3. Imaging Research Laboratories, Robarts Research Institute, Western University, London, ON N6A 3K7, Canada
Version 1 : Received: 31 August 2016 / Approved: 1 September 2016 / Online: 1 September 2016 (10:48:18 CEST)

How to cite: Zhou, R.; Ding, M.; Luo, Y.; Fenster, A. Fractal Dimension Based Carotid Plaque Characterization from Three-Dimensional Ultrasound Images. Preprints 2016, 2016090002 (doi: 10.20944/preprints201609.0002.v1). Zhou, R.; Ding, M.; Luo, Y.; Fenster, A. Fractal Dimension Based Carotid Plaque Characterization from Three-Dimensional Ultrasound Images. Preprints 2016, 2016090002 (doi: 10.20944/preprints201609.0002.v1).

Abstract

Carotid atherosclerotic lesions are a major cause of cerebrovascular disease (CVD). Identification and quantification of carotid plaques are important for categorizing the vulnerability of plaques for rupture and assessing the impact of treatments. The irregularity of plaque surface is associated with previous plaque rupture and plays an important role in the risk of stroke. 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 characterization of carotid plaque using fractal geometry features. 3D box-counting and 3D blanket are the two types of 3D fractal dimension that were employed to describe the smoothness of plaques. This fractal dimension analysis tool was used to evaluate the effect of atorvastatin using 3DUS carotid images, which were acquired from 6 patients treated with atorvastatin with 80 mg daily and 5 patients with placebo. The Student's T Test results showed that those two fractal features were effective for detecting the statin-related changes in carotid atherosclerosis with p<0.0068 and p<0.015 respectively, suggesting that 3D fractal dimension measurements can be used effectively to analyze the surface characteristics of carotid plaques, especially for evaluating the impact of the treatment.

Subject Areas

fractal dimension; carotid plaque characterization; three dimensional ultrasound; an evaluation of the vulnerability of the plaques

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