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Abstract #0555

Influence of whole-brain DCE-MRI (k,t) sampling strategies on variance of pharmaco-kinetic parameter estimates

Yannick Bliesener1, Sajan G. Lingala1, Justin P. Haldar1, and Krishna S. Nayak1

1Electrical Engineering Department, University of Southern California, Los Angeles, CA, United States

We investigate the influence of 2D $$$(k_y,k_z,t)$$$ sampling strategies on the minimum achievable variance without bias for pharmaco-kinetic parameter estimation in 3D whole-brain DCE-MRI (equivalent to the best possible precision without bias). Cramér-Rao analysis is combined with a pathologically- and anatomically-realistic digital reference object to objectively compare measurement procedures independent of any estimator. This study did not identify any significant difference between lattice and random undersampling, or between their uniform and variable density variants.

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