Abstract #0981
Pulmonary Perfusion Phase Imaging using Self-gated Fourier Decomposition MRI
Daniel Stb 1,2 , Simon Veldhoen 2 , Andre Fischer 2 , Stefan Weick 3,4 , Andreas Max Weng 2 , Clemens Wirth 2 , Thorsten A Bley 2 , and Herbert Kstler 2
1
The Centre for Advanced Imaging, The
University of Queensland, Brisbane, Queensland,
Australia,
2
Institute
of Radiology, University of Wrzburg, Wrzburg, Bavaria,
Germany,
3
Department
of Radiation Oncology, University of Wrzburg, Wrzburg,
Bavaria, Germany,
4
Department
of Experimental Physics 5, University of Wrzburg,
Wrzburg, Bavaria, Germany
Fourier Decomposition MRI facilitates the reconstruction
of perfusion weighted images from a time series of
morphologic lung images. We demonstrate that
perfusion-weighted data obtained by SENCEFUL, a Fourier
Decomposition based method employing respiratory and
cardiac self-navigation for the calculation of the image
series, carries also information about the phase of the
pulmonary perfusion. Pulmonary perfusion phase maps can
be calculated which may contain diagnostically valuable
information and might be helpful for refining the
diagnostic information given by the perfusion maps.
Examples of one volunteer and one patient with cystic
fibrosis are given.
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