Document Detail

Automatic characterization of neointimal tissue by intravascular optical coherence tomography.
MedLine Citation:
PMID:  23884201     Owner:  NLM     Status:  MEDLINE    
Intravascular optical coherence tomography (IVOCT) is rapidly becoming the method of choice for assessing vessel healing after stent implantation due to its unique axial resolution <20  μm. The amount of neointimal coverage is an important parameter. In addition, the characterization of neointimal tissue maturity is also of importance for an accurate analysis, especially in the case of drug-eluting and bioresorbable stent devices. Previous studies indicated that well-organized mature neointimal tissue appears as a high-intensity, smooth, and homogeneous region in IVOCT images, while lower-intensity signal areas might correspond to immature tissue mainly composed of acellular material. A new method for automatic neointimal tissue characterization, based on statistical texture analysis and a supervised classification technique, is presented. Algorithm training and validation were obtained through the use of 53 IVOCT images supported by histology data from atherosclerotic New Zealand White rabbits. A pixel-wise classification accuracy of 87% and a two-dimensional region-based analysis accuracy of 92% (with sensitivity and specificity of 91% and 93%, respectively) were found, suggesting that a reliable automatic characterization of neointimal tissue was achieved. This may potentially expand the clinical value of IVOCT in assessing the completeness of stent healing and speed up the current analysis methodologies (which are, due to their time- and energy-consuming character, not suitable for application in large clinical trials and clinical practice), potentially allowing for a wider use of IVOCT technology.
Giovanni J Ughi; Kristin Steigerwald; Tom Adriaenssens; Walter Desmet; Giulio Guagliumi; Michael Joner; Jan D'hooge
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  Journal of biomedical optics     Volume:  19     ISSN:  1560-2281     ISO Abbreviation:  J Biomed Opt     Publication Date:  2014 Feb 
Date Detail:
Created Date:  2013-07-25     Completed Date:  2013-12-10     Revised Date:  2014-07-07    
Medline Journal Info:
Nlm Unique ID:  9605853     Medline TA:  J Biomed Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  21104     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Artificial Intelligence
Atherosclerosis / pathology,  therapy
Iliac Artery / pathology
Image Interpretation, Computer-Assisted
Imaging, Three-Dimensional
Neointima / pathology*
Tomography, Optical Coherence / methods*,  statistics & numerical data
Wound Healing

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  One-pot squaric acid diester mediated aqueous protein conjugation.
Next Document:  German-Catalan Workshop on Epigenetics and Cancer.