Jrme Yerly1,2, Michel Louis Lauzon,
23, Richard Frayne, 23
1Department of Electrical and Computer
Engineering, University of Calgary, Calgary, Alberta, Canada; 2Seaman
Family MR Research Centre, Foothills Medical Centre, Calgary, Alberta,
Canada; 3Departments of Radiology, and Clinical Neurosciences,
University of Calgary, Calgary, Alberta, Canada
MR
imaging is a promising alternative to x-ray fluoroscopy for
guiding/monitoring catheters in endovascular intervention by offering many
advantages. Conventional MR imaging has insufficient temporal resolution, but
accelerated approaches such as sensitivity encoding (SENSE) and compressed
sensing (CS) prove favorable via accurate reconstruction of undersampled
k-space datasets. Since SENSE relies on coil sensitivity whereas CS depends
on sparsity to recover the missing information, it may be advantageous to
combine these two different methodologies. Previously, we demonstrated that
CS alone accurately reconstructs catheter images. Here, we extend our
catheter image reconstructions and investigate the potential of sequentially
combining CS with SENSE.
Keywords