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

Authors:
Pavel Strachota;Michal Beneš;Jaroslav Tintra
Affiliations:
Department of Mathematics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Trojanova 13, 120 00 Praha 2, Czech Republic;Department of Mathematics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Trojanova 13, 120 00 Praha 2, Czech Republic;Institute for Clinical and Experimental Medicine (IKEM), Vídeňská 1958/9, 140 21 Praha 4, Czech Republic
Venue:
Journal of Visual Communication and Image Representation
Year:
2012

Citing 4
Cited 0

Imaging vector fields using line integral convolution

SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Variational Frameworks for DT-MRI Estimation, Regularization and Visualization

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Geometrical image segmentation by the Allen-Cahn equation

Applied Numerical Mathematics
HyperLIC

Proceedings of the 14th IEEE Visualization 2003 (VIS'03)

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.