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    Medical image diagnostics based on computer-aided flow analysis using magnetic resonance images

    189806_189806.pdf (1.283Mb)
    Access Status
    Open access
    Authors
    Wong, Kelvin
    Sun, Zhonghua
    Tu, Jiyuan
    Worthley, Stephen
    Mazumdar, Jagannath
    Abbott, Derek
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Wong, Kelvin and Sun, Zhonghua and Tu, Jiyuan and Worthley, Stephen and Mazumdar, Jagannath and Abbott, Derek. 2012. Medical image diagnostics based on computer-aided flow analysis using magnetic resonance images. Computerized Medical Imaging and Graphics 36: pp. 527-541.
    Source Title
    Computerized Medical Imaging and Graphics
    DOI
    10.1016/j.compmedimag.2012.04.003
    ISSN
    0895-6111
    URI
    http://hdl.handle.net/20.500.11937/28565
    Collection
    • Curtin Research Publications
    Abstract

    Most of the cardiac abnormalities have an implication on hemodynamics and affect cardiovascular health. Diagnostic imaging modalities such as computed tomography and magnetic resonance imaging provide excellent anatomical information on myocardial structures, but fail to show the cardiac flow and detect heart defects in vivo condition. The computerized technique for fluid motion estimation by pixel intensity tracking based on magnetic resonance signals represents a promising technique for functional assessment of cardiovascular disease, as it can provide functional information of the heart in addition to analysis of its anatomy. Cardiovascular flow characteristics can be measured in both normal controls and patients with cardiac abnormalities such as atrial septal defect, thus, enabling identification of the underlying causes of these flow phenomena. This review paper focuses on an overview of a flow analysis scheme based on computer-aided evaluation of magnetic resonance intensity images, in comparison with other commonly used medical imaging modalities. Details of the proposed technique are provided with validations being conducted at selected abnormal cardiovascular patients. It is expected that this new technique can potentially extend applications for characterizing cardiovascular defects and their hemodynamic behavior.

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