DOI | Resolve DOI: https://doi.org/10.1007/978-3-642-02611-9_78 |
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Author | Search for: Bourezak, Rafik1; Search for: Lamouche, Guy1; Search for: Cheriet, Farida |
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Affiliation | - National Research Council of Canada. NRC Industrial Materials Institute
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Format | Text, Book Chapter |
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Subject | OCT; A-scan segmentation; intravascular imaging; image segmentation; image filtering |
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Abstract | In this article, we present a new method to extract internal and external borders (intimal-adventitial) of arteries from Optical Coherence Tomography (OCT) images. The method is based on A-scan segmentation. First, the distribution of the grey level values on every A-scan is analyzed separately using a sliding window to approximate a single-lobe distribution. Our hypothesis is that the position of the arterial tissue corresponds to the window which exhibits the largest single-lobe distribution. Once all the tissue is extracted from the image, every segmented A-scan position is corrected using a block of neighbouring segmented A-scans. Experimental results show that the proposed method is accurate and robust to extract arterial tissue. |
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Publication date | 2009 |
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Publisher | Springer |
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In | |
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Series | |
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Language | English |
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Peer reviewed | Yes |
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NPARC number | 23004521 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | 13ad31f4-6855-427e-8b2b-a79506bb9c58 |
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Record created | 2018-11-14 |
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Record modified | 2020-06-17 |
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