Literature DB >> 29021922

Texture Feature Variability in Ultrasound Video of the Atherosclerotic Carotid Plaque.

Christos P Loizou1, Constantinos S Pattichis2, Marios Pantziaris3, Efthyvoulos Kyriacou4, Andrew Nicolaides5.   

Abstract

The objective of this paper was to investigate texture feature variability in ultrasound video of the carotid artery during the cardiac cycle in an attempt to define new discriminatory biomarkers of the vulnerable plaque. More specifically, in this paper, 120 longitudinal ultrasound videos, acquired from 40 normal (N) subjects from the common carotid artery and 40 asymptomatic (A) and 40 symptomatic (S) subjects from the proximal internal carotid artery were investigated. The videos were intensity normalized and despeckled, and the intima-media complex (IMC) (from the N subjects) and the atherosclerotic carotid plaques (from the A and S subjects) were segmented from each video, in order to extract the M-mode image, and the texture features associated with cardiac states of systole and diastole. The main results of this paper can be summarized as follows: 1) texture features varied significantly throughout the cardiac cycle with significant differences identified between the cardiac systolic and cardiac diastolic states; 2) gray scale median was significantly higher at cardiac systole versus diastole for the N, A, and S groups investigated; 3) plaque texture features extracted during the cardiac cycle at the systolic and diastolic states were statistically significantly different between A and S subjects (and can thus be used to discriminate between A and S subjects successfully). The combination of systolic and diastolic features yields better performance than those alone. It is anticipated that the proposed system may aid the physician in clinical practice in classifying between N, A, and S subjects using texture features extracted from ultrasound videos of IMC and carotid artery plaque. However, further evaluation has to be carried out with more videos and additional features.

Entities:  

Keywords:  Ultrasound video; cardiovascular disease; carotid plaque; texture analysis; texture variability

Year:  2017        PMID: 29021922      PMCID: PMC5633332          DOI: 10.1109/JTEHM.2017.2728662

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


  16 in total

1.  Texture-based classification of atherosclerotic carotid plaques.

Authors:  C I Christodoulou; C S Pattichis; M Pantziaris; A Nicolaides
Journal:  IEEE Trans Med Imaging       Date:  2003-07       Impact factor: 10.048

Review 2.  Ultrasound and Biochemical Diagnostic Tools for the Characterization of Vulnerable Carotid Atherosclerotic Plaque.

Authors:  Simeon Lechareas; Amalia E Yanni; Spyretta Golemati; Achilles Chatziioannou; Despoina Perrea
Journal:  Ultrasound Med Biol       Date:  2015-10-20       Impact factor: 2.998

3.  Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery.

Authors:  Christos P Loizou; Constantinos S Pattichis; Christodoulos I Christodoulou; Robert S H Istepanian; Marios Pantziaris; Andrew Nicolaides
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2005-10       Impact factor: 2.725

4.  Texture features for classification of ultrasonic liver images.

Authors:  C M Wu; Y C Chen; K S Hsieh
Journal:  IEEE Trans Med Imaging       Date:  1992       Impact factor: 10.048

5.  An integrated system for the segmentation of atherosclerotic carotid plaque ultrasound video.

Authors:  Christos Loizou; Styliani Petroudi; Marios Pantziaris; Andrew Nicolaides; Constantinos Pattichis
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2014-01       Impact factor: 2.725

6.  Computerized texture analysis of carotid plaque ultrasonic images can identify unstable plaques associated with ipsilateral neurological symptoms.

Authors:  Stavros K Kakkos; Andrew N Nicolaides; Efthyvoulos Kyriacou; Stella S Daskalopoulou; Michael M Sabetai; Constantinos S Pattichis; George Geroulakos; Maura B Griffin; Dafydd Thomas
Journal:  Angiology       Date:  2011-05       Impact factor: 3.619

7.  The effect of B-mode ultrasonic image standardisation on the echodensity of symptomatic and asymptomatic carotid bifurcation plaques.

Authors:  T Elatrozy; A Nicolaides; T Tegos; A Z Zarka; M Griffin; M Sabetai
Journal:  Int Angiol       Date:  1998-09       Impact factor: 2.789

8.  The Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) study. Aims and results of quality control.

Authors:  A Nicolaides; M Sabetai; S K Kakkos; S Dhanjil; T Tegos; J M Stevens; D J Thomas; S Francis; M Griffin; G Geroulakos; E Ioannidou; E Kyriacou
Journal:  Int Angiol       Date:  2003-09       Impact factor: 2.789

9.  Dynamic variations in the ultrasound greyscale median of carotid artery plaques.

Authors:  Baris Kanber; Timothy C Hartshorne; Mark A Horsfield; Andrew R Naylor; Thompson G Robinson; Kumar V Ramnarine
Journal:  Cardiovasc Ultrasound       Date:  2013-06-14       Impact factor: 2.062

10.  Wall motion in the stenotic carotid artery: association with greyscale plaque characteristics, the degree of stenosis and cerebrovascular symptoms.

Authors:  Baris Kanber; Timothy C Hartshorne; Mark A Horsfield; Andrew R Naylor; Thompson G Robinson; Kumar V Ramnarine
Journal:  Cardiovasc Ultrasound       Date:  2013-10-20       Impact factor: 2.062

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  5 in total

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Authors:  Luca Saba; Skandha S Sanagala; Suneet K Gupta; Vijaya K Koppula; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Durga P Misra; Vikas Agarwal; Aditya M Sharma; Vijay Viswanathan; Vijay S Rathore; Monika Turk; Raghu Kolluri; Klaudija Viskovic; Elisa Cuadrado-Godia; George D Kitas; Neeraj Sharma; Andrew Nicolaides; Jasjit S Suri
Journal:  Ann Transl Med       Date:  2021-07

2.  Carotid Artery Stiffness Mechanisms in Hypertension and Their Association with Echolucency and Texture Features: The Multi-ethnic Study of Atherosclerosis (MESA).

Authors:  Ryan Pewowaruk; Claudia Korcarz; Yacob Tedla; Carol Mitchell; Adam D Gepner
Journal:  Ultrasound Med Biol       Date:  2022-08-18       Impact factor: 3.694

3.  Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images.

Authors:  S Latha; P Muthu; Samiappan Dhanalakshmi; R Kumar; Khin Wee Lai; Xiang Wu
Journal:  Comput Intell Neurosci       Date:  2022-05-12

4.  Performance Analysis of Machine Learning and Deep Learning Architectures on Early Stroke Detection Using Carotid Artery Ultrasound Images.

Authors:  S Latha; P Muthu; Khin Wee Lai; Azira Khalil; Samiappan Dhanalakshmi
Journal:  Front Aging Neurosci       Date:  2022-01-27       Impact factor: 5.750

5.  Ultrasound risk marker variability in symptomatic carotid plaque: impact on risk reclassification and association with temporal variation pattern.

Authors:  Isak Stenudd; Elias Sjödin; Emma Nyman; Per Wester; Elias Johansson; Christer Grönlund
Journal:  Int J Cardiovasc Imaging       Date:  2020-03-06       Impact factor: 2.357

  5 in total

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