Literature DB >> 25571134

Automatic dissociation between microvasculature and larger vessels for ultrasound contrast imaging.

Antonios Perperidis, David Thomas, Michalakis Averkiou, Colin Duncan, Alan McNeilly, Mairead Butler, Vassilis Sboros.   

Abstract

Microvasculature density (MVD) provides an established biomarker for the prognosis of numerous diseases associated with abnormal microvascular networks. The accurate, robust and timely assessment of MVD changes facilitates disease detection, treatment monitoring and patient stratification. Nevertheless, the current gold standard (PET) for MVD quantification is not used in clinical practice due to its high costs and potential health hazards. Contrast Enhanced Ultrasound (CEUS) imaging can provide an attractive alternative. However, the limited dissociation between larger vessels and microvasculature in the imaged tissues limits the accuracy and robustness of CEUS. This study proposed a novel, and fully automatic technique that dissociates larger vessels from microvasculature in CEUS imaged tissues. The ovine Corpus Luteum (CL) was used as an in vivo model for the development and assessment of the proposed technique.

Entities:  

Mesh:

Year:  2014        PMID: 25571134     DOI: 10.1109/EMBC.2014.6944766

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  2 in total

1.  Background Removal and Vessel Filtering of Noncontrast Ultrasound Images of Microvasculature.

Authors:  Mahdi Bayat; Mostafa Fatemi; Azra Alizad
Journal:  IEEE Trans Biomed Eng       Date:  2018-07-20       Impact factor: 4.538

2.  Super-Resolution Contrast-Enhanced Ultrasound Methodology for the Identification of In Vivo Vascular Dynamics in 2D.

Authors:  Evangelos Kanoulas; Mairead Butler; Caitlin Rowley; Vasiliki Voulgaridou; Konstantinos Diamantis; William Colin Duncan; Alan McNeilly; Michalakis Averkiou; Hessel Wijkstra; Massimo Mischi; Rhodri Simon Wilson; Weiping Lu; Vassilis Sboros
Journal:  Invest Radiol       Date:  2019-08       Impact factor: 6.016

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.