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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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