title: Automated classification of optical coherence tomography images of human atrial tissue.
abstract: 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.
authors.affiliation: Columbia University, Department of Electrical Engineering, 500 West 120th Street, New York, New York 10027, United States.
authors.forename: Yu
authors.initials: Y
authors.lastname: Gan
authors.affiliation: Columbia NY Presbyterian Hospital, 630 West 168th Street, New York, New York 10032, United States.
authors.forename: David
authors.initials: D
authors.lastname: Tsay
authors.affiliation: Columbia University, Department of Electrical Engineering, 500 West 120th Street, New York, New York 10027, United States.
authors.forename: Syed B
authors.initials: SB
authors.lastname: Amir
authors.affiliation: Columbia University Medical Center, 630 West 168th Street, New York, New York 10032, United States.
authors.forename: Charles C
authors.initials: CC
authors.lastname: Marboe
authors.affiliation: Columbia University, Department of Electrical Engineering, 500 West 120th Street, New York, New York 10027, United States.
authors.forename: Christine P
authors.initials: CP
authors.lastname: Hendon
mesh_terms: D000368:Aged; D000465:Algorithms; D057791:Cardiac Imaging Techniques / Q000379:methods*; D005260:Female; D006325:Heart Atria / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D041623:Tomography, Optical Coherence / Q000379:methods*