Visualization of probabilistic fiber tracts in virtual reality

Studies in Health Technology and Informatics

Volumn 163, Issue , 2011, Pages 486-492

  Rick, Tobias ^a,b   Von Kapri, Anette ^a,b   Amunts, Katrin ^c   Caspers, Svenja ^a,b,c   Zilles, Karl ^b,c,d   Kuhlen, Torsten ^a,b  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b Julich Aachen Research Alliance   (Germany)

^c Institute of Neuroscience and Medicine   (Germany)

^d HEINRICH HEINE UNIVERSITY   (Germany)

Author keywords

probabilistic tractography; virtual reality

Indexed keywords

FIBERS; MAGNETIC RESONANCE IMAGING; VISUALIZATION;

ANATOMICAL INFORMATION; ANATOMICAL LANDMARKS; CONNECTIVITY STRUCTURES; INTERACTIVE CONTROL; NEUROLOGICAL DISEASE; PROBABILISTIC TRACTOGRAPHY; SPATIAL PATTERNS; VISUALIZATION SYSTEM;

VIRTUAL REALITY;

ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER INTERFACE; COMPUTER SIMULATION; CYTOLOGY; DIFFUSION TENSOR IMAGING; IMAGE ENHANCEMENT; MYELINATED NERVE; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; USER-COMPUTER INTERFACE;

EID: 79953064664     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-706-2-486     Document Type: Conference Paper

References (16)

1. P. J. Basser, J. Mattiello, and D. Lebihan, "MR diffusion tensor spectroscopy and imaging, " Biophysical Journal, vol. 66, pp. 259-267, 1994. (Pubitemid 24016507)
2. T. Behrens, H. Johansen-Berg, M. Woolrich, S. Smith, C. Wheeler-Kingshott, P. Boulby, G. Barker, E. Sillery, K. Sheehan, O. Ciccarelli, A. Thompson, J. Brady, and P. Matthews, "Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging, " Nature Neuroscience, vol. 6, no. 7, pp. 750-757, 2003. [Online]. Available: http://dx.doi.org/10.1038/nn1075. (Pubitemid 36792891)
3. A. von Kapri, T. Rick, S. Caspers, S. B. Eickhoff, K. Zilles, and T. Kuhlen, "Evaluating a visualization of uncertainty in probabilistic tractography, " K. H.Wong and M. I. Miga, Eds., vol. 7625, no. 1. SPIE, 2010, p. 762534.
4. "FSL 4.1, " August 2008. [Online]. Available: http://www.fmrib.ox.ac.uk/fsl/.
5. G. Kindlmann, "Visualization and analysis of diffusion tensor fields, " Ph.D. dissertation, School of Computing, University of Utah, 2004.
6. G. Kindlmann, D. Weinstein, and D. Hart, "Strategies for direct volume rendering of diffusion tensor fields, " IEEE Transactions on Visualization and Computer Graphics, vol. 6, no. 2, pp. 124-138, 2000.
7. W. Chen, S. Zhang, S. Correia, and D. F. Tate, "Visualizing diffusion tensor imaging data with merging ellipsoids, " IEEE Pacific Visualization Symposium, vol. 0, pp. 145-151, 2009.
8. A. Sherbondy, D. Akers, R. Mackenzie, R. Dougherty, and B. Wandell, "Exploring connectivity of the brain's white matter with dynamic queries, " IEEE Transactions on Visualization and Computer Graphics, vol. 11, no. 4, pp. 419-430, 2005.
9. A. Qazi, G. Kindlmann, L. O'Donnell, S. Peled, A. Radmanesh, S.Whalen, A. Golby, and C.-F.Westin, "Two-tensor streamline tractography through white matter intra-voxel fiber crossings: Assessed by fMRI, " in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops., 2008, pp. 1-8.
10. T. Behrens, H. Johansen-Berg, S. Jbabdi, M. Rushworth, and M. Woolrich, "Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?" NeuroImage, vol. 34, no. 1, pp. 144-155, 2007. [Online]. Available: http://dx.doi.org/10.1016/j.neuroimage.2006.09.018. (Pubitemid 44765263)
11. M. Descoteaux, R. Deriche, T. Knosche, and A. Anwander, "Deterministic and probabilistic tractography based on complex fibre orientation distributions, " IEEE Transactions on Medical Imaging, vol. 28, no. 2, pp. 269-286, 2009.
12. E. Bier, M. Stone, and K. Pier, "Enhanced illustration using magic lens filters, " IEEE Computer Graphics and Applications, vol. 17, no. 6, pp. 62-70, 1997. (Pubitemid 127568587)
13. J. Viega, M. J. Conway, G.Williams, and R. Pausch, "3d magic lenses, " in UIST '96: Proceedings of the 9th annual ACM symposium on User interface software and technology. New York, NY, USA: ACM, 1996, pp. 51-58.
14. A. Fuhrmann and E. Gröller, "Real-time techniques for 3d flow visualization, " in VIS '98: Proceedings of the conference on Visualization '98. Los Alamitos, CA, USA: IEEE Computer Society Press, 1998, pp. 305-312.
15. I. Assenmacher and T. Kuhlen, "The ViSTA Virtual Reality Toolkit, " The SEARIS Workshop on IEEE VR 2008, Reno, 2008.
16. K. Zilles and K. Amunts, "Receptor mapping: architecture of the human cerebral cortex, " Current Opinion in Neurology, vol. 22, no. 4, pp. 331-339, 2009.