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Abstract #1897

Compressed Sensing reconstruction in non-contrast-enhanced functional lung MRI using Fourier Decomposition: An initial study

Efe Ilicak1, Jorge Chacon-Caldera1, Jascha Zapp1, Lothar R. Schad1, and Frank G. Zoellner1

1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany

Ventilation and perfusion functions have significant clinical value for the diagnosis of pulmonary diseases. Fourier Decomposition is a non-contrast-enhanced method for assessing regional ventilation and perfusion information from time-resolved images. However, its robustness suffers from poor temporal resolution. Here we propose a compressed sensing reconstruction of undersampled acquisitions to improve temporal resolution of dynamic images. Retrospective demonstrations on in vivo acquisitions indicate that the proposed reconstruction scheme achieves similar image quality to conventional acquisitions while improving scan efficiency.

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