title: Automatic lumen contour detection in intravascular OCT images using Otsu binarization and intensity curve.
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.
authors.forename: Hye Min
authors.initials: HM
authors.lastname: Kim
authors.forename: Seung Hwan
authors.initials: SH
authors.lastname: Lee
authors.forename: Chungkeun
authors.initials: C
authors.lastname: Lee
authors.forename: Jong-Won
authors.initials: JW
authors.lastname: Ha
authors.forename: Young-Ro
authors.initials: YR
authors.lastname: Yoon
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001331:Automation; D001808:Blood Vessels / Q000473:pathology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D041623:Tomography, Optical Coherence / Q000379:methods*