Download | - View accepted manuscript: A novel 3D segmentation method of the lumen from intravascular ultrasound images (PDF, 515 KiB)
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DOI | Resolve DOI: https://doi.org/10.1007/978-3-540-74260-9_84 |
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Author | Search for: Alexandrescu, Ionut; Search for: Cheriet, Farida; Search for: Delorme, Sébastien1 |
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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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Conference | 4th International Conference on Image Analysis and Recognition (ICIAR 2007), August 22-24, 2007, Montreal, Quebec, Canada |
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Subject | IVUS segmentation; 3D co-occurrence matrix; k-means classification; swap heuristics; texture analysis |
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Abstract | In this paper a novel method that automatically detects the lumen-intima border on an intravascular ultrasound sequence (IVUS) is presented. First, a 3D co-occurrence matrix was used to efficiently extract the texture information of the IVUS images through the temporal sequence. By extracting several co-occurrence matrices a complete characterization feature space was determined. Secondly, using a k-means algorithm, all the pixels in the IVUS images were classified by determining if they belong to either the lumen or the other vessel tissues. This enables automatic clustering and therefore no learning step was required. The classification of the pixels within the feature space was obtained using 3 clusters: two clusters for the vessel tissues, one cluster for the lumen, while the remaining pixels are labeled as unclassified. Experimental results show that the proposed method is robust to noisy images and yields segmented lumen-intima contours validated by an expert in more than 80% of a total of 300 IVUS images. |
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Publication date | 2007 |
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Publisher | Springer Berlin Heidelberg |
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Series | |
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Language | English |
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Peer reviewed | Yes |
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NRC number | NRCC 53675 |
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NPARC number | 15854986 |
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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 | 4e97d7d4-f1db-47bd-88d4-d599acaaf55a |
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Record created | 2010-07-23 |
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Record modified | 2020-06-17 |
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