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Abstract #4891

Feasibility Study of Combining CS with SENSE for Catheter Visualization in MR Endovascular Intervention

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.