Abstract #1569
Real-time cardiac MRI using manifold sensing
Sunrita Poddar 1 , Sajan Goud Lingala 2 , and Mathews Jacob 1
1
Electrical and Computer Engineering,
University of Iowa, Iowa City, Iowa, United States,
2
Biomedical
Engineering, University of Iowa, Iowa City, Iowa, United
States
This work enables free-breathing un-gated cardiac MR
imaging from highly under-sampled k-space data. It
eliminates the need for multiple breath-holds to
evaluate cardiac function, thus increasing patient
comfort. We consider that the images live on a 2D
manifold (parameterized by cardiac and respiratory
phases) embedded in higher dimensional space. K-space
data of images that lie close on the manifold are
combined for reconstruction. The proposed approach does
not require cardiac and respiratory gating or manual
self-gating and can be automated for routine clinical
use. This scheme can work for a range of existing
k-space trajectories, including golden angle radial
sequences.
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