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Abstract #0052

Linear Time Invariant Model based Motion Compensation for Renal Function Estimation with DCE-MRI

Jaume Coll-Font1, Onur Afacan1, Jeanne Chow1, Richard S Lee1, Simon K Warfield1, and Sila Kurugol1
1Boston Children's Hospital and Harvard Medical School, Boston, MA, United States

Heavy breathing or large bulk motion of infants during acquisition of renal DCE-MRI causes misalignment between volumes, degrades image quality, and reduces the accuracy of estimated quantitative parameters of kidney function. We proposed a robust LTI model-based registration algorithm for motion correction, which improved the temporal stability of the concentration time curves, resulting in improved estimation of tracer kinetic model parameters such as renal filtration rate.

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