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    Spatio-temporal Visualization of Regional Myocardial Velocities

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    Date
    2016
    Author
    Sheharyar, Ali
    Chitiboi, Teodora
    Keller, Eric
    Rahman, Ozair
    Schnell, Susanne
    Markl, Michael
    Bouhali, Othmane
    Linsen, Lars
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    Abstract
    Cardiovascular disease is the leading cause of death worldwide according to the World Health Organization (WHO). Nearly half of all heart failures occur due to the decline in the performance of the left ventricle (LV). Therefore, early detection, monitoring, and accurate diagnosis of LV pathologies are of critical importance. Usually, global cardiac function parameters are used to assess the cardiac structure and function, although regional abnormalities are important biomarkers of several cardiac diseases. Regional motion of the myocardium, the muscular wall of the LV, can be captured in a non-invasive manner using the velocity-encoded magnetic resonance (MR) imaging method known as Tissue Phase Mapping (TPM). To analyze the complex motion pattern, one typically visualizes for each time step the radial, longitudinal, and circumferential velocities separately according to the American Heart Association (AHA) model, which makes the comprehension of the spatio-temporal pattern an extremely challenging cognitive task. We propose novel spatio-temporal visualization methods for LV myocardial motion analysis with less cognitive load. Our approach uses coordinated views for navigating through the data space. One view visualizes individual time steps, which can be scrolled or animated, while a second view visualizes the temporal evolution using the radial layout of a polar plot for the time dimension. Different designs for visual encoding were considered in both views and evaluated with medical experts to demonstrate and compare their effectiveness and intuitiveness for detecting and analyzing regional abnormalities.
    BibTeX
    @inproceedings {10.2312:vcbm.20161275,
    booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
    editor = {Stefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervold},
    title = {{Spatio-temporal Visualization of Regional Myocardial Velocities}},
    author = {Sheharyar, Ali and Chitiboi, Teodora and Keller, Eric and Rahman, Ozair and Schnell, Susanne and Markl, Michael and Bouhali, Othmane and Linsen, Lars},
    year = {2016},
    publisher = {The Eurographics Association},
    ISSN = {2070-5786},
    ISBN = {978-3-03868-010-9},
    DOI = {10.2312/vcbm.20161275}
    }
    URI
    http://dx.doi.org/10.2312/vcbm.20161275
    https://diglib.eg.org:443/handle/10.2312/vcbm20161275
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    • VCBM 16: Eurographics Workshop on Visual Computing for Biology and Medicine

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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA