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    Imposing spatio-temporal support in magnetic resonance angiographic imaging (2010)

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    Type of Content
    Conference Contributions - Published
    UC Permalink
    http://hdl.handle.net/10092/5274
    
    Publisher's DOI/URI
    https://doi.org/10.1117/12.861059
    
    Publisher
    University of Canterbury. Electrical and Computer Engineering
    University of Canterbury. Physics and Astronomy
    Collections
    • Engineering: Conference Contributions [2344]
    Authors
    Bones, P.J.
    Vafadar, B.
    Watts, R.
    Wu, B.
    show all
    Abstract

    A method to improve time resolution in 3D contrast-enhanced magnetic resonance angiography (CE-MRA) is proposed. A temporal basis based on prior knowledge of the contrast flow dynamics is applied to a sequence of image reconstructions. In CE-MRA a contrast agent (gadolinium) is injected into a peripheral vein and MR data is acquired as the agent arrives in the arteries and then the veins of the region of clinical interest. The acquisition extends over several minutes. Information is effectively measured in 3D k-space (spatial frequency space) one line at-atime. That line may be along a Cartesian grid line in k-space, a radial line or a spiral trajectory. A complete acquisition comprises many such lines but in order to improve temporal resolution, reconstructions are made from only partial sets of k-space data. By imposing a basis for the temporal changes, based on prior expectation of the smoothness of the changes in contrast concentration with time, it is demonstrated that a significant reduction in artifacts caused by the under-sampling of k-space can be achieved. The basis is formed from a set of gamma variate functions. Results are presented for a simulated set of 2D spiral-sampled CE-MRA data.

    Citation
    Bones, P.J., Vafadar, B., Watts, R., Wu, B. (2010) Imposing spatio-temporal support in magnetic resonance angiographic imaging. San Diego, USA: Image Reconstruction from Incomplete Data VI, 2-3 Aug 2010. Proceedings of SPIE, 7800, 780007(1-10).
    This citation is automatically generated and may be unreliable. Use as a guide only.
    ANZSRC Fields of Research
    11 - Medical and Health Sciences::1103 - Clinical Sciences::110320 - Radiology and Organ Imaging
    32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320101 - Cardiology (incl. cardiovascular diseases)
    Rights
    https://hdl.handle.net/10092/17651

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