Literature DB >> 25569926

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

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

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.

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Year:  2014        PMID: 25569926     DOI: 10.1109/EMBC.2014.6943558

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Automated accurate lumen segmentation using L-mode interpolation for three-dimensional intravascular optical coherence tomography.

Authors:  Arsalan Akbar; T S Khwaja; Ammar Javaid; Jun-Sun Kim; Jinyong Ha
Journal:  Biomed Opt Express       Date:  2019-09-23       Impact factor: 3.732

2.  Fully Automated Lumen Segmentation Method for Intracoronary Optical Coherence Tomography.

Authors:  Elżbieta Pociask; Krzysztof Piotr Malinowski; Magdalena Ślęzak; Joanna Jaworek-Korjakowska; Wojciech Wojakowski; Tomasz Roleder
Journal:  J Healthc Eng       Date:  2018-12-26       Impact factor: 2.682

  2 in total

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