Fast and sleek glyph rendering for interactive HARDI data exploration

High angular resolution diffusion imaging (HARDI) is an emerging magnetic resonance imaging (MRI) technique that overcomes some decisive limitations of its predecessor diffusion tensor imaging (DTI). HARDI can resolve locally more than one direction in the diffusion pattern of water molecules and thereby opens up the opportunity to display and track crossing fibers. Showing the local structure of the reconstructed, angular probability profiles in a fast, detailed, and interactive way can improve the quality of the research in this area and help to move it into clinical application. In this paper we present a novel approach for HARDI glyph visualization or, more generally, for the visualization of any function that resides on a sphere and that can be expressed by a Laplace series. Our GPU-accelerated glyph rendering improves the performance of the traditional way of HARDI glyph visualization as well as the visual quality of the reconstructed data, thus offering interactive HARDI data exploration of the local structure of the white brain matter in-vivo. In this paper we exploit the capabilities of modern GPUs to overcome the large, processor-intensive and memory-consuming data visualization.

[1]  G. Kindlmann,et al.  Superquadric Glyphs for Symmetric Second-Order Tensors , 2010, IEEE Transactions on Visualization and Computer Graphics.

[2]  D. Tuch Diffusion MRI of complex tissue structure , 2002 .

[3]  Carl-Fredrik Westin,et al.  Diffusion Tensor Visualization with Glyph Packing , 2006, IEEE Transactions on Visualization and Computer Graphics.

[4]  Gordon Kindlmann,et al.  Visualization and Analysis of Diffusion Tensor Fields , 2004 .

[5]  A. Polyanin Handbook of Linear Partial Differential Equations for Engineers and Scientists , 2001 .

[6]  L. Frank Anisotropy in high angular resolution diffusion‐weighted MRI , 2001, Magnetic resonance in medicine.

[7]  Gordon Kindlmann,et al.  Superquadric tensor glyphs , 2004, VISSYM'04.

[8]  Baba C. Vemuri,et al.  Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT) , 2006, NeuroImage.

[9]  Stefan Gumhold,et al.  Splatting Illuminated Ellipsoids with Depth Correction , 2003, VMV.

[10]  Timothy Edward John Behrens,et al.  A Bayesian framework for global tractography , 2007, NeuroImage.

[11]  Gerik Scheuermann,et al.  Fast and Memory Efficient GPU-Based Rendering of Tensor Data , 2011 .

[12]  P. Basser,et al.  MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.

[13]  R. Deriche,et al.  Regularized, fast, and robust analytical Q‐ball imaging , 2007, Magnetic resonance in medicine.

[14]  Daniel C. Alexander,et al.  Camino: Open-Source Diffusion-MRI Reconstruction and Processing , 2006 .

[15]  Tim Weyrich,et al.  Eurographics Symposium on Point-based Graphics (2006) Gpu-based Ray-casting of Quadratic Surfaces , 2022 .

[16]  Jean-Francois Mangin,et al.  Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories , 2005, IPMI.

[17]  Paul M. Thompson,et al.  Visualization Tools for High Angular Resolution Diffusion Imaging , 2008, MICCAI.

[18]  Rachid Deriche,et al.  SPLITTING TRACKING THROUGH CROSSING FIBERS: MULTIDIRECTIONAL Q-BALL TRACKING , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[19]  D. Tuch Q‐ball imaging , 2004, Magnetic resonance in medicine.

[20]  Bernd Hamann,et al.  Interactive Glyph Placement for Tensor Fields , 2007, ISVC.

[21]  Bernd Hamann,et al.  Tensor Lines in Tensor Fields of Arbitrary Order , 2007, ISVC.

[22]  T. Mareci,et al.  Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging , 2003, Magnetic resonance in medicine.

[23]  Duan Xu,et al.  Q‐ball reconstruction of multimodal fiber orientations using the spherical harmonic basis , 2006, Magnetic resonance in medicine.

[24]  Bengt Jönsson,et al.  Restricted Diffusion in Cylindrical Geometry , 1995 .

[25]  Daniel C. Alexander,et al.  Persistent Angular Structure: New Insights from Diffusion MRI Data. Dummy Version , 2003, IPMI.