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A model-free approach for imaging tumor hypoxia from DCE-MRI data

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Published:28 June 2016Publication History

ABSTRACT

Non-invasive imaging biomarkers that assess angiogenic response and tumor microvascular environment at an early stage of therapy could provide useful insights into therapy planning. Tissue hypoxia is related to the insufficient supply of oxygen and is associated with tumor vasculature and perfusion. Thus, knowledge of the hypoxic areas could be of great importance. There is no golden standard for imaging tumor hypoxia yet, however Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is among the most promising non-invasive clinically relevant imaging modalities. In this work, DCE-MRI data from neck sarcoma are analyzed through a pattern recognition technique which results in the separation of the tumor area into well-perfused, hypoxic and necrotic regions.

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  • Published in

    cover image ACM Other conferences
    CGI '16: Proceedings of the 33rd Computer Graphics International
    June 2016
    130 pages
    ISBN:9781450341233
    DOI:10.1145/2949035

    Copyright © 2016 ACM

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    Publication History

    • Published: 28 June 2016

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