User-based estimation of intima-media thickness (IMT) of carotid arteries leads to subjectivity in its decision support systems, while being used as a cardiovascular risk marker. During automated computer-based decision support, we had developed segmentation strategies that follow three main courses of our contributions: (a) signal processing approach combined with snakes and fuzzy K-means (CULEXsa), (b) integrated approach based on seed and line detection followed by probability based connectivity and classification (CALEXsa), and (c) morphological approach with watershed transform and fitting (WS). We have extended this fusion concept by taking merits of these multiple boundaries, so called, Inter-Greedy (IG) approach. Starting from the technique with the overall least system error (the snake-based one), we iteratively swapped the vertices of the lumen-intima/media-adventitia (LI/MA) profiles until we minimized its overall distance with respect to ground truth. The fusion boundary was the IG boundary. The mean error of Inter-Greedy technique (evaluated on 200 images) yielded 0.32 ± 0.44 pixel (20.0 ± 27.5 µm) for the LI boundary (a 33.3%±5.6% improvement over initial best performing technique) and 0.21 ± 0.34 pixel (13.1 ± 21.3 µm) for MA boundary (a 32.3%±6.7% improvement). IMT measurement error for Greedy method was 0.74 ± 0.75 pixel (46.3 ± 46.9 µm), a 43.5%±2.4% improvement.

Inter-Greedy technique for fusion of different carotid segmentation boundaries leading to high-performance IMT measurement / Molinari, Filippo; Zeng, G.; Suri, J. S.. - ELETTRONICO. - 1:(2010), pp. 4769-4772. (Intervento presentato al convegno Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE tenutosi a Buenos Aires nel Aug. 31 - Sept. 4 2010) [10.1109/IEMBS.2010.5626636].

Inter-Greedy technique for fusion of different carotid segmentation boundaries leading to high-performance IMT measurement.

MOLINARI, FILIPPO;
2010

Abstract

User-based estimation of intima-media thickness (IMT) of carotid arteries leads to subjectivity in its decision support systems, while being used as a cardiovascular risk marker. During automated computer-based decision support, we had developed segmentation strategies that follow three main courses of our contributions: (a) signal processing approach combined with snakes and fuzzy K-means (CULEXsa), (b) integrated approach based on seed and line detection followed by probability based connectivity and classification (CALEXsa), and (c) morphological approach with watershed transform and fitting (WS). We have extended this fusion concept by taking merits of these multiple boundaries, so called, Inter-Greedy (IG) approach. Starting from the technique with the overall least system error (the snake-based one), we iteratively swapped the vertices of the lumen-intima/media-adventitia (LI/MA) profiles until we minimized its overall distance with respect to ground truth. The fusion boundary was the IG boundary. The mean error of Inter-Greedy technique (evaluated on 200 images) yielded 0.32 ± 0.44 pixel (20.0 ± 27.5 µm) for the LI boundary (a 33.3%±5.6% improvement over initial best performing technique) and 0.21 ± 0.34 pixel (13.1 ± 21.3 µm) for MA boundary (a 32.3%±6.7% improvement). IMT measurement error for Greedy method was 0.74 ± 0.75 pixel (46.3 ± 46.9 µm), a 43.5%±2.4% improvement.
2010
9781424441235
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2380969
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