Prior Data Assisted Compressed Sensing - A Novel Strategy for Real Time Dynamic MRI
Eugene Yip 1 , Jihyun Yun 2 , Keith Wachowicz 1 , Zsolt Gabos 1 , Satyapal Rathee 1 , and Gino Fallone 1,2
Department of Oncology, University of
Alberta, Edmonton, AB, Canada,
of Physics, University of Alberta, Edmonton, AB, Canada
Compressed Sensing (CS) can be beneficial to real time
MRI guided interventions by significantly improving
imaging frame rates. Spatial-temporal (k-t) CS can
increase the acceleration potential of conventional CS
but requires significantly longer reconstruction times.
We have devised a novel spatial-temporal CS imaging
strategy Prior Data Assisted Compressed Sensing
(PDACS), that is capable of near real time
reconstruction (0.3s), and improves the reconstruction
accuracy of conventional 2D-CS by using pre-acquired
data to support reconstruction. In this work, we
demonstrated the effectiveness of the PDACS technique in
a lung tumour tracking study of cancer patients
undergoing free breathing.
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