Although voxel models have been applied to address diverse problems in computer-aided design processes, their role multi-domain data integration digital architecture and planning has not extensively studied. The primary objective of this study is map the current state art identify open questions concerning structuring, integration, modeling multi-scale objects systems architecture. Focus placed...

This thesis involves the tracking of white matter and heart fibers, using diffusion tensor imaging data and high resolution MR scans. Dynamic programming is employed to generate fibers linking regions of interest in the brain and heart with paths that minimize an energy constraint. From the diffusion tensor data it is possible to determine the probability that a fiber passing through a particul...

We develop a novel statistical model, called multiscale adaptive regression model (MARM), for spatial and adaptive analysis of neuroimaging data. The primary motivation and application of the proposed methodology is statistical analysis of imaging data on the two-dimensional (2D) surface or in the 3D volume for various neuroimaging studies. The existing voxel-wise approach has several major lim...

Extended Reality (XR) applications, which may encompass Augmented (AR) and Virtual (VR), commonly involve immersive virtual environments that are based on real physical environments. Transmitting the extensive color depth image data for representing a environment over communication network to create corresponding at remote location is very challenging due enormous volumes time constraints of re...

Sparse Voxel Directed Acyclic Graphs (SVDAGs) are an efficient solution for storing high-resolution voxel geometry. Recently, algorithms the interactive modification of SVDAGs have been proposed that maintain compressed geometric representation. Nevertheless, attributes, such as colours, require uncompressed storage, which can result in high memory usage over course application. The reason is c...

We propose displaced signed distance fields, an implicit shape representation to accurately, efficiently and robustly 3D-print finely detailed smoothly curved surfaces at native device resolution. As the resolution accuracy of 3D printers increase, accurate reproduction such becomes increasingly realizable from a hardware perspective. However, representing with polygonal meshes requires high po...

This paper presents a voxel-based biomechanical model for muscle deformation using finite element method (FEM) and volume graphics. Hierarchical voxel meshes are reconstructed from filtered segmented muscle images followed by FEM simulation and volume rendering. Physiological muscle force is considered and linear elastic muscle models for both static and dynamic cases are simulated by FEM. Voxe...

We represent the sequence of fMRI (Functional Magnetic Resonance Imaging) brain volumes recorded during a cognitive stimulus by a graph which consists of a set of local meshes. The corresponding cognitive process, encoded in the brain, is then represented by these meshes each of which is estimated assuming a linear relationship among the voxel time series in a predefined locality. First, we def...

White matter structures composed of myelinated axons in the living human brain are primarily studied by diffusion-weighted MRI (dMRI). These long-range projections are typically characterized in a two-step process: dMRI signal is used to estimate the orientation of axon segments within each voxel, then these local orientations are linked together to estimate the spatial extent of putative white...

The interest in automatic volume meshing for finite element analysis (FEA) has grown more since the appearance of microfocus CT (μCT), due to its high resolution, which allows for the assessment of mechanical behavior at a high precision. Nevertheless, the basic meshing approach of generating one hexahedron per voxel produces jagged edges. To prevent this effect, smoothing algorithms have been ...