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Fusing in-vitro and in-vivo intravascular ultrasound data for plaque characterization

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Abstract

Accurate detection of in-vivo vulnerable plaque in coronary arteries is still an open problem. Recent studies show that it is highly related to tissue structure and composition. Intravascular Ultrasound (IVUS) is a powerful imaging technique that gives a detailed cross-sectional image of the vessel, allowing to explore arteries morphology. IVUS data validation is usually performed by comparing post-mortem (in-vitro) IVUS data and corresponding histological analysis of the tissue. The main drawback of this method is the few number of available case studies and validated data due to the complex procedure of histological analysis of the tissue. On the other hand, IVUS data from in-vivo cases is easy to obtain but it can not be histologically validated. In this work, we propose to enhance the in-vitro training data set by selectively including examples from in-vivo plaques. For this purpose, a Sequential Floating Forward Selection method is reformulated in the context of plaque characterization. The enhanced classifier performance is validated on in-vitro data set, yielding an overall accuracy of 91.59% in discriminating among fibrotic, lipidic and calcified plaques, while reducing the gap between in-vivo and in-vitro data analysis. Experimental results suggest that the obtained classifier could be properly applied on in-vivo plaque characterization and also demonstrate that the common hypothesis of assuming the difference between in-vivo and in-vitro as negligible is incorrect.

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Notes

  1. The use of the proposed technique on an in-vitro data set comprising the necrotic core tissue is a straightforward step that is expected not to change the overall behavior and performance of the proposed framework.

  2. The function is described in pseudo-Matlab code.

  3. The catheter is connected to the IVUS equipment by a motorized tool and its position is constantly monitored by X-ray analysis.

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Acknowledgments

This work was supported in part by a research grant from projects TIN2006-15308-C02, TIN2009-14404-C02, FIS-PI061290, FIS-PI060957, FIS-PI070454, CONSOLIDER INGENIO 2010 (CSD2007-00018).

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Authors and Affiliations

  1. Department Matemàtica Aplicada i Anàlisi, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain

    Francesco Ciompi, Oriol Pujol & Petia Radeva

  2. Computer Vision Center, Edifici O, Campus UAB, 08193, Bellaterra, Barcelona, Spain

    Francesco Ciompi, Oriol Pujol, Carlo Gatta & Petia Radeva

  3. Hospital Universitari “Germans Trias i Pujol”, Carretera de Canyet s/n, 08916, Badalona, Spain

    Oriol Rodríguez-Leor & Josepa Mauri-Ferré

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  1. Francesco Ciompi
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  2. Oriol Pujol
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  3. Carlo Gatta
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  4. Oriol Rodríguez-Leor
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  5. Josepa Mauri-Ferré
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  6. Petia Radeva
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Correspondence to Francesco Ciompi.

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Ciompi, F., Pujol, O., Gatta, C. et al. Fusing in-vitro and in-vivo intravascular ultrasound data for plaque characterization. Int J Cardiovasc Imaging 26, 763–779 (2010). https://doi.org/10.1007/s10554-009-9543-1

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  • DOI: https://doi.org/10.1007/s10554-009-9543-1

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