DocumentCode
636347
Title
Fully automated calcium detection using optical coherence tomography
Author
Athanasiou, Lambros S. ; Bourantas, C.V. ; Rigas, George A. ; Exarchos, Themis P. ; Sakellarios, Antonios I. ; Siogkas, Panagiotis K. ; Papafaklis, Michail I. ; Naka, Katerina K. ; Michalis, Lampros K. ; Prati, F. ; Fotiadis, Dimitrios I.
Author_Institution
Dept. of Mater. Sci. & Eng., Univ. of Ioannina, Ioannina, Greece
fYear
2013
fDate
3-7 July 2013
Firstpage
1430
Lastpage
1433
Abstract
Optical Coherence Tomography (OCT) is a new invasive technology for performing high-resolution cross-sectional imaging of the coronary arteries. In OCT images only Calcified plaque (CA) components can be accurately depicted as light penetrates hard tissue. In this work we present an automated method for detecting CA in OCT images. The method is fully automated as no user intervention is needed and includes three steps. In the first step the region between the lumen and the maximum penetration depth of OCT from the lumen border is determined. In the second step the region is classified into 3 clusters using the K-means algorithm. CA is identified using the results of k-means. The method was validated using expeerts´ annotations on 27 images. The sensitivity of the method is 83% with Positive predictive value (PVV) 74 %.
Keywords
biomedical optical imaging; blood vessels; calcium; diseases; image classification; image resolution; medical image processing; optical tomography; K-means algorithm; OCT images; calcified plaque components; clusters classification; coronary arteries; experts annotations; fully automated calcium detection; hard tissue; high-resolution cross-sectional imaging; invasive technology; light penetration; lumen border; maximum penetration depth; optical coherence tomography; positive predictive value; sensitivity; Calcium; Catheters; Coherence; Optical imaging; Optical sensors; Sensitivity; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6609779
Filename
6609779
Link To Document