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Advanced Visualization of 3D data of Intravascular Ultrasound images

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Medical Data Analysis (ISMDA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2199))

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Abstract

Intravascular ultrasound images (IVUS) have allowed deepening in the knowledge of the true extension of the coronary vessel illness. Today, vessel diagnosis is limited to observation and measurements in the IVUS planes. For a bigger accuracy, 3D visualization is necessary to allow estimating the extension, localization and severity of the pathology. We develop tools for interactive 3D visualization to extend the views to any sailing angle through the cube of IVUS data. .As a result, physicians are allowed to inspect and get 3D measurements about the vessel pathology from IVUS images.

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Author information

Authors and Affiliations

  1. Computer Vision Center, University Autonoma of Barcelona, Bellaterra

    D. Rotger, C. Cañero & P. Radeva

  2. Hospital Universitari Germans Trias i Pujol, Badalona

    J. Mauri, E. Fernandez, A. Tovar & V. Valle

Authors
  1. D. Rotger
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  2. C. Cañero
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  3. P. Radeva
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  4. J. Mauri
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  5. E. Fernandez
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  6. A. Tovar
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  7. V. Valle
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Editor information

Editors and Affiliations

  1. Polytechnical University of Madrid Artificial Intelligence Laboratory, Medical Informatics Group, 28660, Boadilla del Monte (Madrid), Spain

    Jose Crespo  & Victor Maojo  & 

  2. Health Bioinformatics Unit, Institute of Health Carlos III, Ctra. de Majadahonda-Pozuelo Km.2, 28220, Majadahonda (Madrid), Spain

    Fernando Martin

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© 2001 Springer-Verlag Berlin Heidelberg

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Rotger, D. et al. (2001). Advanced Visualization of 3D data of Intravascular Ultrasound images. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_37

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  • DOI: https://doi.org/10.1007/3-540-45497-7_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42734-6

  • Online ISBN: 978-3-540-45497-7

  • eBook Packages: Springer Book Archive

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