Abstract #1246

Evaluation of Divergence-Free Correction Algorithms in High Resolution 4-D Flow Images of Cranial Vasculature.

Michael Loecher¹, Steven Kecskemeti, Kevin M. Johnson¹, Patrick Turski², Oliver Wieben¹,²

¹Medical Physics, University of Wisconsin Madison, Madison, WI, United States; ²Radiology, University of Wisconsin Madison, Madison, WI, United States

This study investigates the performance of a finite difference method and a radial basis function algorithm for removing divergence from 4D-flow images. Noise reduction and visualization improvements are compared in a phantom and in vivo by comparing RMSE, noise levels, and streamline lengths. Overall the RBF method performs better, generally reducing noise by around 25% and improving streamline length by around 22%.