Literature DB >> 20378477

A review of noninvasive ultrasound image processing methods in the analysis of carotid plaque morphology for the assessment of stroke risk.

Efthyvoulos C Kyriacou1, Constantinos Pattichis, Marios Pattichis, Christos Loizou, Christodoulos Christodoulou, Stavros K Kakkos, Andrew Nicolaides.   

Abstract

Noninvasive ultrasound imaging of carotid plaques allows for the development of plaque-image analysis methods associated with the risk of stroke. This paper presents several plaque-image analysis methods that have been developed over the past years. The paper begins with a review of clinical methods for visual classification that have led to standardized methods for image acquisition, describes methods for image segmentation and denoising, and provides an overview of the several texture-feature extraction and classification methods that have been applied. We provide a summary of emerging trends in 3-D imaging methods and plaque-motion analysis. Finally, we provide a discussion of the emerging trends and future directions in our concluding remarks.

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Year:  2010        PMID: 20378477     DOI: 10.1109/TITB.2010.2047649

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  8 in total

1.  Automatic segmentation of carotid B-mode images using fuzzy classification.

Authors:  Rui Rocha; Jorge Silva; Aurélio Campilho
Journal:  Med Biol Eng Comput       Date:  2012-03-14       Impact factor: 2.602

2.  Ultrasonic image analysis and image-guided interventions.

Authors:  J Alison Noble; Nassir Navab; H Becher
Journal:  Interface Focus       Date:  2011-06-15       Impact factor: 3.906

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 Lesion-Based Response Prediction Model Using Pretherapy PET/CT Image Features for Y90 Radioembolization to Hepatic Malignancies.

Authors:  Rahul Mehta; Kejia Cai; Nishant Kumar; M Grace Knuttinen; Thomas M Anderson; Hui Lu; Yang Lu
Journal:  Technol Cancer Res Treat       Date:  2016-09-06

5.  A review of ultrasound common carotid artery image and video segmentation techniques.

Authors:  Christos P Loizou
Journal:  Med Biol Eng Comput       Date:  2014-10-05       Impact factor: 2.602

6.  An efficient data mining framework for the characterization of symptomatic and asymptomatic carotid plaque using bidimensional empirical mode decomposition technique.

Authors:  Filippo Molinari; U Raghavendra; Anjan Gudigar; Kristen M Meiburger; U Rajendra Acharya
Journal:  Med Biol Eng Comput       Date:  2018-02-23       Impact factor: 2.602

Review 7.  The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.

Authors:  Zhenyu Liu; Shuo Wang; Di Dong; Jingwei Wei; Cheng Fang; Xuezhi Zhou; Kai Sun; Longfei Li; Bo Li; Meiyun Wang; Jie Tian
Journal:  Theranostics       Date:  2019-02-12       Impact factor: 11.556

8.  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

  8 in total

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