Literature DB >> 24949801

Currently available methodologies for the processing of intravascular ultrasound and optical coherence tomography images.

Lambros Athanasiou1, Antonis I Sakellarios, Christos V Bourantas, Georgia Tsirka, Panagiotis Siogkas, Themis P Exarchos, Katerina K Naka, Lampros K Michalis, Dimitrios I Fotiadis.   

Abstract

Optical coherence tomography and intravascular ultrasound are the most widely used methodologies in clinical practice as they provide high resolution cross-sectional images that allow comprehensive visualization of the lumen and plaque morphology. Several methods have been developed in recent years to process the output of these imaging modalities, which allow fast, reliable and reproducible detection of the luminal borders and characterization of plaque composition. These methods have proven useful in the study of the atherosclerotic process as they have facilitated analysis of a vast amount of data. This review presents currently available intravascular ultrasound and optical coherence tomography processing methodologies for segmenting and characterizing the plaque area, highlighting their advantages and disadvantages, and discusses the future trends in intravascular imaging.

Entities:  

Keywords:  atherosclerotic plaque; border detection; hybrid imaging; intravascular ultrasound; optical coherence tomography

Mesh:

Year:  2014        PMID: 24949801     DOI: 10.1586/14779072.2014.922413

Source DB:  PubMed          Journal:  Expert Rev Cardiovasc Ther        ISSN: 1477-9072


  2 in total

1.  A Domain Enriched Deep Learning Approach to Classify Atherosclerosis using Intravascular Ultrasound Imaging.

Authors:  Max L Olender; Lambros S Athanasiou; Lampros K Michalis; Dimitris I Fotiadis; Elazer R Edelman
Journal:  IEEE J Sel Top Signal Process       Date:  2020-06-15       Impact factor: 6.856

2.  Optical Coherence Tomography of Spontaneous Basilar Artery Dissection in a Patient With Acute Ischemic Stroke.

Authors:  Peng Gao; Liqiang Gui; Bin Yang; Timo Krings; Liqun Jiao
Journal:  Front Neurol       Date:  2018-10-16       Impact factor: 4.003

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.