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Abstract #0926

k-T PCA Reconstruction for Functional Lung MRI by Fourier Decomposition

Grzegorz Bauman1, Sebastian Kozerke2,3

1Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany; 2Division of Imaging Sciences, King's College London, London, United Kingdom; 3Institute for Biomedical Engineering, University & ETH Zurich, Switzerland

As a consequence of the recent shortage of 3He gas for lung imaging studies, alternative methods for the assessment of pulmonary function have received much attention. A very promising approach utilizes time-resolved ultra-short echo time data acquisitions of the native proton signal using a balanced steady-state free-precession (bSSFP) sequence with subsequent image registration and Fourier decomposition to construct perfusion and ventilation-weighted images. The objective of this work is to study the feasibility of k-t undersampling in conjunction with the k-t PCA reconstruction framework for accelerating dynamic bSSFP image acquisition of the lung.