Towards clinical applicability of the diffusion-based DT-MRI visualization algorithm

For the purpose of DT-MRI data visualization, an algorithm based on a numerical model of texture diffusion is proposed. As a prerequisite of entering clinical use, its parameters need to be adjusted properly so that the procedure gives satisfactory results with limited computational resources and time available. This contribution introduces the principles of the method and reports on the results of extensive computational studies aimed at finding optimal settings of the numerical scheme and model parameters with respect to visualization purposes. Total variation is used as a measure of visual quality of the produced images. Further, we provide evidence that using the algorithm is fully feasible on state of the art hardware. Finally, high resolution visualizations based on real data are demonstrated.

► We present a numerical DT-MRI visualization algorithm based on texture diffusion.
► Several finite volume schemes produce results of different visual quality.
► Image quality related to numerical diffusion is quantified by total variation.
► Model parameters are tuned to maximize performance and minimize computational costs.