Linear Time Invariant Model based Motion Compensation for Renal Function Estimation with DCE-MRI (Coll-Font et al.)

Jaume Coll-Font, Onur Afacan, Jeanne Chow, Richard S. Lee, Simon K. Warfield, and Sila Kurugol
Boston Children's Hospital

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