@inbook {eichelbaum2010a,
	title = {Fabric-Like Visualization of Tensor Field Data on Arbitrary Surfaces in Image Space},
	booktitle = {New Developments in the Visualization and Processing of Tensor Fields},
	series = {Mathematics and Visualization},
	year = {2012},
	pages = {71-92},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {Tensors are of great interest to many applications in engineering and in medical imaging, but a proper analysis and visualization remains challenging. It already has been shown that, by employing the metaphor of a fabric structure, tensor data can be visualized precisely on surfaces where the two eigendirections in the plane are illustrated as thread-like structures. This leads to a continuous visualization of most salient features of the tensor data set. We introduce a novel approach to compute such a visualization from tensor field data that is motivated by image-space line integral convolution (LIC). Although our approach can be applied to arbitrary, non-selfintersecting surfaces, the main focus lies on special surfaces following important features, such as surfaces aligned to the neural pathways in the human brain. By adding a postprocessing step, we are able to enhance the visual quality of the of the results, which improves perception of the major patterns.},
	isbn = {978-3-642-27342-1},
	doi = {10.1007/978-3-642-27343-8_4},
	url = {http://dx.doi.org/10.1007/978-3-642-27343-8_4},
	author = {Eichelbaum, Sebastian and Mario Hlawitschka and Bernd Hamann and Gerik Scheuermann},
	editor = {Laidlaw, David H. and Vilanova, Anna}
}
@inbook { HWA*:2009,
	title = {Interactive Volume Rendering of Diffusion Tensor Data},
	booktitle = {Visualization and Processing of Tensor Fields: Advances and Perspectives},
	year = {2009},
	pages = {161-176},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin, Germany},
	author = {Mario Hlawitschka and Weber, G.H. and Anwander, A. and Carmichael, O.T. and Bernd Hamann and Gerik Scheuermann},
	editor = {Laidlaw, David H. and Weickert, J.}
}
