TY - JOUR
T1 - Automated classification of optical coherence tomography images of human atrial tissue
AU - Gan, Yu
AU - Tsay, David
AU - Amir, Syed B.
AU - Marboe, Charles C.
AU - Hendon, Christine P.
N1 - Publisher Copyright:
© 2016 The Authors.
PY - 2016/10/1
Y1 - 2016/10/1
N2 - Tissue composition of the atria plays a critical role in the pathology of cardiovascular disease, tissue remodeling, and arrhythmogenic substrates. Optical coherence tomography (OCT) has the ability to capture the tissue composition information of the human atria. In this study, we developed a region-based automated method to classify tissue compositions within human atria samples within OCT images. We segmented regional information without prior information about the tissue architecture and subsequently extracted features within each segmented region. A relevance vector machine model was used to perform automated classification. Segmentation of human atrial ex vivo datasets was correlated with trichrome histology and our classification algorithm had an average accuracy of 80.41% for identifying adipose, myocardium, fibrotic myocardium, and collagen tissue compositions.
AB - Tissue composition of the atria plays a critical role in the pathology of cardiovascular disease, tissue remodeling, and arrhythmogenic substrates. Optical coherence tomography (OCT) has the ability to capture the tissue composition information of the human atria. In this study, we developed a region-based automated method to classify tissue compositions within human atria samples within OCT images. We segmented regional information without prior information about the tissue architecture and subsequently extracted features within each segmented region. A relevance vector machine model was used to perform automated classification. Segmentation of human atrial ex vivo datasets was correlated with trichrome histology and our classification algorithm had an average accuracy of 80.41% for identifying adipose, myocardium, fibrotic myocardium, and collagen tissue compositions.
KW - cardiac imaging
KW - classification
KW - image processing
KW - optical coherence tomography
UR - http://www.scopus.com/inward/record.url?scp=84960172887&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960172887&partnerID=8YFLogxK
U2 - 10.1117/1.JBO.21.10.101407
DO - 10.1117/1.JBO.21.10.101407
M3 - Article
C2 - 26926869
AN - SCOPUS:84960172887
SN - 1083-3668
VL - 21
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 10
M1 - 101407
ER -