Abstract
Purpose
The structure of fiber tracts in DT-MRI data presents a challenging problem for visualization and analysis. We derive visualization of such traces from a local coherence measure and achieve much improved visual segmentation.
Methods
We introduce a coherence measure defined for fiber tracts. This quantitative assessment is based on infinitesimal deviations of neighboring tracts and allows identification and segmentation of coherent fiber regions. We use a hardware-accelerated implementation to achieve interactive visualization on slices and provide several approaches to visualize coherence information. Furthermore, we enhance existing techniques by combining them with coherence.
Results
We demonstrate our method on both a canine heart, where the myocardial structure is visualized, and a human brain, where we achieve detailed visualization of major and minor fiber bundles in a quality similar to and exceeding fiber clustering approaches.
Conclusions
Our approach allows detailed and fast visual- ization of important anatomical structures in DT-MRI data sets.
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References
Basser P, Mattiello J, LeBihan D (1994) Estimation of the effective self-diffusion tensor from the NMR spin echo. J Magn Reson 3(103): 247–254
Basser PJ, Pjevic S, Pierpaoli C, Duda J, Aldroubi A (2000) In vivo fiber tractography using DT-MRI data. Magn Reson Med 44(4): 625–632
Dickenson RR (1989) A unified approach to the design of visualization software for the analysis of field problems. In: SPIE Proceedings. vol 1083, SPIE, The International Society for Optical Engineering, Bellinham, Washington, 1989
Enders F, Sauber N, Merhof D, Hastreiter P, Nimsky C, Stamminger M (2005) Visualization of white matter tracts with wrapped streamlines. In: Silva CT, Gröller E, Rushmeier H (eds) Proceedings of IEEE visualization 2005, IEEE Computer Society, IEEE Computer Society Press, Los Alamitos, CA, USA, 2005, pp 51–58
Garth C, Gerhardt F, Tricoche X, Hagen H (2007) Efficient computation and visualization of coherent structures in fluid flow applications. IEEE Transactions on Visualization and Computer Graphics TVCGs 13, 6 November/December 2007, pp 1464–1471
Haller G (2001) Distinguished material surfaces and coherent structures in three-dimensional flows. Phys D 149: 248–277
Hesselink L, Levy Y, Lavin Y (1997) The topology of symmetric, second-order 3D tensor fields. IEEE Trans Vis Comput Graph 3(1): 1–11
Hairer E, Nørsett SP, Wanner G (1993) Solving ordinary differential equations I, 2nd edn, vol 8. Springer Series in Computer Mathematics. Springer, Berlin
Kindlmann G (2004) Superquadric tensor glyph. Joint EUROGRAPHICS—IEEE TCVG symposium on visualization
Kindlmann G, Tricoche X, Westin C-F (2007) Delineating white matter structure in diffusion tensor MRI with anisotropy creases. Med Image Anal 11(5): 492–502
Kindlmann GL, Weinstein DM, Hart D (2000) Strategies for direct volume rendering of diffusion tensor fields. IEEE Trans Vis Comput Graph 6(2): 124–137
Lekien F, Shadden S, Marsden J (2006) Lagrangian coherent structures in n-dimensional systems. Phys D (submitted)
Mallo O, Peickert R, Sigg C, Sadlo F (2005) Illuminated lines revisited. In: Silva CT, Gröller E, Rushmeier H (eds) Proceedings of IEEE visualization 2005. Los Alamitos, CA, USA, 2005. IEEE Computer Society, IEEE Computer Society Press, pp 19–26
Moberts B, Vilanova A, van Wijk JJ (2005) Evaluation of fiber clustering methods for diffusion tensor imaging. In: Silva CT, Gröller E, Rushmeier H (eds) Proceedings of IEEE visualization 2005. Los Alamitos, CA, USA, 2005. IEEE Computer Society, IEEE Computer Society Press, pp 65–72
Peeters T, Vilanova A, Strijkers G, Romeny BTH (2006) Visualization of the fibrous structure of the heart. Vision, Modeling, and Visualization, Aachen
Qazi AA, Radmanesh A, O’Donnell L, Kindlmann G, Peled S, Whalen S, Westin C-F, Golby AJ (2008) Resolving crossings in the corticospinal tract by two-tensor streamline tractography: method and clinical assessment using fMRI. Neuroimage
Sadlo F, Peikert R (2007) Visualizing lagrangian coherent structures: a comparison to vector field topology. In: Topology-based methods in visualization
Schultz T, Theisel H, Seidel H-P (2007) Topological visualization of brain diffusion MRI data. IEEE Trans Vis Comput Graph (Proc IEEE Vis) 13(6): 1496–1503
Tricoche X, Scheuermann G (2004) Topological methods for tensor visualization. Elsevier, Amsterdam
Vilanova A, Zhang S, Kindlmann G, Laidlaw D (2006) An introduction to visualization of diffusion tensor imaging and its applications. In: Weickert J, Hagen H (eds) Visualization and processing of tensor fields. Springer, Berlin, pp 121–153
Weinstein D, Kindlmann G, Lundberg E (1999) Tensorlines: advection-diffusion based propagation through diffusion tensor fields. In: IEEE visualization’99, pp 249–254
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Hlawitschka, M., Garth, C., Tricoche, X. et al. Direct visualization of fiber information by coherence. Int J CARS 5, 125–131 (2010). https://doi.org/10.1007/s11548-009-0302-5
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DOI: https://doi.org/10.1007/s11548-009-0302-5