Literature DB >> 12401382

Fractal dimension estimation of carotid atherosclerotic plaques from B-mode ultrasound: a pilot study.

Pantelis Asvestas1, Spyretta Golemati, George K Matsopoulos, Konstantina S Nikita, Andrew N Nicolaides.   

Abstract

In this paper, a pilot study regarding carotid atherosclerotic plaque instability using B-mode ultrasound (US) images was carried out. The fractal dimension of plaques obtained from ten symptomatic subjects (i.e., subjects having experienced neurological symptoms) as well as from nine asymptomatic subjects, was estimated using a novel method, called the kth nearest neighbour (KNN) method. The results indicated a significant difference, as per the fractal dimension, between the two groups, providing a significantly lower value for the asymptomatic group. Moreover, the phase of the cardiac cycle (systole/diastole) during which the fractal dimension was estimated had no systematic effect on the calculations. The fractal dimension of the plaques was also estimated using a well-known method, namely the box-counting (BC) method. No significant differences between the two groups, as per the fractal dimension, were observed using the BC method. The presented pilot study suggests that the fractal dimension, estimated by the proposed method, could be used as a single determinant for the discrimination of symptomatic and asymptomatic subjects. Copyright 2002 World Federation for Ultrasound in Medicine & Biology

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Year:  2002        PMID: 12401382     DOI: 10.1016/s0301-5629(02)00550-1

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  7 in total

1.  Fractal dimension and directional analysis of elastic and collagen fiber arrangement in unsectioned arterial tissues affected by atherosclerosis and aging.

Authors:  Leila B Mostaço-Guidolin; Michael S D Smith; Mark Hewko; Bernie Schattka; Michael G Sowa; Arkady Major; Alex C-T Ko
Journal:  J Appl Physiol (1985)       Date:  2019-01-10

2.  Ultrasound texture-based CAD system for detecting neuromuscular diseases.

Authors:  Tim König; Johannes Steffen; Marko Rak; Grit Neumann; Ludwig von Rohden; Klaus D Tönnies
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-12-02       Impact factor: 2.924

3.  Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment.

Authors:  U Rajendra Acharya; Muthu Rama Krishnan Mookiah; S Vinitha Sree; David Afonso; Joao Sanches; Shoaib Shafique; Andrew Nicolaides; L M Pedro; J Fernandes E Fernandes; Jasjit S Suri
Journal:  Med Biol Eng Comput       Date:  2013-01-06       Impact factor: 2.602

4.  [A probability model for analyzing speckles in intravascular ultrasound images to facilitate image segmentation].

Authors:  Wu-Yi Chai; Feng Yang; Shao-Feng Yuan; Shu-Jun Liang; Jing Huang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-11-20

Review 5.  A Review on Carotid Ultrasound Atherosclerotic Tissue Characterization and Stroke Risk Stratification in Machine Learning Framework.

Authors:  Aditya M Sharma; Ajay Gupta; P Krishna Kumar; Jeny Rajan; Luca Saba; Ikeda Nobutaka; John R Laird; Andrew Nicolades; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2015-09       Impact factor: 5.113

6.  Selective aggregation of PAMAM dendrimer nanocarriers and PAMAM/ZnPc nanodrugs on human atheromatous carotid tissues: a photodynamic therapy for atherosclerosis.

Authors:  Nikolaos Spyropoulos-Antonakakis; Evangelia Sarantopoulou; Panagiotis N Trohopoulos; Aikaterina L Stefi; Zoe Kollia; Vassilios E Gavriil; Athanasia Bourkoula; Panagiota S Petrou; Sotirios Kakabakos; Vadim V Semashko; Alexey S Nizamutdinov; Alkiviadis-Constantinos Cefalas
Journal:  Nanoscale Res Lett       Date:  2015-05-07       Impact factor: 4.703

7.  Surface roughness detection of arteries via texture analysis of ultrasound images for early diagnosis of atherosclerosis.

Authors:  Lili Niu; Ming Qian; Wei Yang; Long Meng; Yang Xiao; Kelvin K L Wong; Derek Abbott; Xin Liu; Hairong Zheng
Journal:  PLoS One       Date:  2013-10-17       Impact factor: 3.240

  7 in total

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