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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