Abstract #0432
k-t Reconstruction of Undersampled Wavelet-space for Real-time Free-breathing Cardiac Imaging
Yu Li 1 , Janaka Wansapura 1 , Hui Wang 2 , Jean Tkach 1 , Michael Taylor 3 , and Charles Dumoulin 1
1
Radiology, Cincinnati Children's Hospital
Medical Center, Cincinnati, OH, United States,
2
MR
Clinical Science North America, Philips HealthCare,
Cleveland, OH, United States,
3
Cardiology,
Cincinnati Children's Hospital Medical Center,
Cincinnati, OH, United States
We investigated a new cardiac imaging technique that
uses k-t parallel imaging reconstruction in an
undersampled wavelet-space for real-time free-breathing
data acquisition. This technique decomposes the original
cardiac data into a series of multi-scale k-t data with
a small frequency bandwidth using real-time wavelet
decomposition filters. The bandwidth reduction allows
for the use of neighboring time frames in wavelet-space
k-t reconstruction, providing an approach to improving
SNR without a considerable loss of dynamic information.
The feasibility of this approach is demonstrated.
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