Automatic lumen contour detection in intravascular OCT images using Otsu binarization and intensity curve

Author

Hye Min Kim ; Seung Hwan Lee ; Chungkeun Lee ; Jong-Won Ha ; Young-Ro Yoon

Author_Institution

Dept. of Biomed. Eng., Yonsei Univ., Wonju, South Korea

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

178

Lastpage

181

Abstract

This paper proposes an automatic method for the detection of lumen contours in intravascular OCT images with guide wire shadow artifacts. This algorithm is divided into five main procedures: pre-processing, an Otsu binarization approach, an intensity curve approach, a lumen contour position correction, and image reconstruction and contour extraction. The 30 IVOCT images from six anonymous patients were used to verify this method and we obtained 99.2% sensitivity and 99.7% specificity with this algorithm.

Keywords

biomedical optical imaging; image reconstruction; medical image processing; optical tomography; Otsu binarization approach; automatic lumen contour detection; contour extraction; guide wire shadow artifacts; image reconstruction; intensity curve approach; intravascular OCT images; lumen contour position correction; optical coherence tomography; Accuracy; Biomedical imaging; Educational institutions; Image reconstruction; Image segmentation; Interpolation; Wires;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6943558

Filename

6943558