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Abstract #3807

Free Breathing CINE with Low Rank aided Manifold smoothness Regularization

Sunrita Poddar 1 , John D Newell 2 , and Mathews Jacob 1

1 Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States, 2 Radiology, University of Iowa, IA, United States

We propose an algorithm for high time resolution multi-slice free breathing ungated dynamic imaging. This is of utmost importance to paediatric patients, obese subjects and subjects with compromised pulmonary function who cannot hold their breath sufficiently long for a breath-hold exam. We acquire cardiac k-space data using a novel acquisition scheme and reconstruct the image series assuming that the images lie on a low-dimensional manifold. We find that good spatial and temporal resolution images are obtained in a reasonable acquisition time without the need for any physiological monitors. Our results are compared to the traditional ECG gated breath-held method.

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