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Abstract #4534

Optimization of Variable-Density Cartesian Sampling for Time-Resolved Imaging

Reed F. Busse1, Kang Wang2, James H. Holmes1, Jean H. Brittain1, Frank R. Korosec3

1Applied Science Laboratory, GE Healthcare, Madison, WI, USA; 2Medical Physics, University of Wisconsin, Madison, WI, USA; 3Radiology, University of Wisconsin, Madison, WI, USA

A number of Cartesian sampling patterns were considered to optimize system performance for time-resolved imaging applications. Two k-t sampling density functions were compared, a two-value top-hat function and a continuous function proportional to 1/kr. The effect k-t sampling distribution, including bit-reversed time ordering and point-wise k-space interleaving was also assessed. Modeling studies simulating rapid contrast arrival in an angiography application were performed. Reconstruction errors due to temporal dynamics temporal blur and coherent artifacts were found to be lowest for the approach with 1/kr k-t sampling density and bit-reversed point-wise interleaving of k-t samples.