Abstract #3445

CArtesian sampling with Variable density and Adjustable temporal resolution (CAVA)

Adam Rich¹, Ning Jin², Yingmin Liu³, Lee C. Potter⁴, Orlando P. Simonetti^3,5,6, and Rizwan Ahmad^1,3

¹Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States, ²Siemens Medical Solutions, Columbus, OH, United States, ³Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States, ⁴Electrical and Computer Engineering, The Ohio State University, Columbus, OH, United States, ⁵Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States, ⁶Department of Radiology, The Ohio State University, Columbus, OH, United States

We present a variable density Cartesian sampling method that allows retrospective adjustment of temporal resolution, providing added flexibility for real-time applications where optimal temporal resolution may not be known in advance. This method, called CArtesian sampling with Variable density and Adjustable temporal resolution (CAVA), is validated using real-time, free-breathing phase-contrast MRI data from four volunteers. Diagnostic quality images were successfully recovered at different temporal resolutions. Also, flow quantification based on CAVA was in good agreement with the breath-held segmented acquisition. In summary, CAVA provides a Cartesian alternative to Golden Angle-based radial sampling and can benefit a wide range of 2D real-time applications.

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