Designing a complete visualization system involves many subtle decisions. When designing
a complex, real-world visualization system, such decisions involve many types of …

Tensors provide a powerful language to describe physical phenomena. Consequently, they
have a long tradition in physics and appear in various application areas, either as the final …

Modern diffusion magnetic resonance imaging (dMRI) acquires intricate volume datasets
and biological meaning can only be found in the relationship between its different …

Homogenization-based topology optimization has been shown to be effective but does not
directly create mechanical structures. Instead, the method gives a multi-scale description of …

Diffusion Tensor Imaging (DTI) is a magnetic resonance imaging modality that enables the
in-vivo reconstruction and visualization of fibrous structures. To inspect the local and …

In the field of topology optimization, the homogenization approach has been revived as an
important alternative to the established, density-based methods. Homogenization can …

The focus of this research is to create a methodology to systematically generate spatially-
varying, periodic, cellular microstructures that are tailored to attain optimized performance of …

Iso-surfaces or level-sets provide an effective and frequently used means for feature
visualization. However, they are restricted to simple features for uni-variate data. The …

Diffusion tensor interpolation is an important issue in the application of diffusion tensor
magnetic resonance imaging (DT-MRI) to the human heart, all the more as the points …

Tensor field has been widely used in various applications, such as medical imaging,
industrial manufacturing, high-dimensional data analysis, and so forth. However, it is a …